Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming. - Mykel J. Kochenderfer (EuroGP, 2003)

Common Sense Data Acquisition for Indoor Mobile Robots. - Rakesh Gupta 001; Mykel J. Kochenderfer (AAAI, 2004)

Adaptive Modeling and Planning for Reactive Agents. - Mykel J. Kochenderfer (AAAI, 2005)

Adaptive modelling and planning for learning intelligent behaviour. - Mykel J. Kochenderfer (2006)

A decision-theoretic approach to developing robust collision avoidance logic. - Mykel J. Kochenderfer; James P. Chryssanthacopoulos (ITSC, 2010)

Collision avoidance system optimization with probabilistic pilot response models. - James P. Chryssanthacopoulos; Mykel J. Kochenderfer (ACC, 2011)

Partially-controlled Markov Decision Processes for Collision Avoidance Systems. - Mykel J. Kochenderfer; James P. Chryssanthacopoulos (ICAART (1), 2011)

Collision Avoidance Using Partially Controlled Markov Decision Processes. - Mykel J. Kochenderfer; James P. Chryssanthacopoulos (ICAART (Revised Selected Papers), 2011)

Analysis of open-loop and closed-loop planning for aircraft collision avoidance. - James P. Chryssanthacopoulos; Mykel J. Kochenderfer (ITSC, 2011)

Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. - Haoyu Bai; David Hsu; Mykel J. Kochenderfer; Wee Sun Lee (Robotics: Science and Systems, 2011)

Aircraft Collision Avoidance Using Monte Carlo Real-Time Belief Space Search. - Travis B. Wolf; Mykel J. Kochenderfer (J. Intell. Robotic Syst., 2011)

Predicting the behavior of interacting humans by fusing data from multiple sources. - Erik J. Schlicht; Ritchie Lee; David H. Wolpert; Mykel J. Kochenderfer; Brendan D. Tracey (UAI, 2012)

Decentralized control of partially observable Markov decision processes. - Christopher Amato; Girish Chowdhary 001; Alborz Geramifard; N. Kemal Ure; Mykel J. Kochenderfer (CDC, 2013)

Compression of Optimal Value Functions for Markov Decision Processes. - Mykel J. Kochenderfer; Nicholas Monath (DCC, 2013)

A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation. - Dimitris Bertsimas; J. Daniel Griffith; Vishal Gupta 004; Mykel J. Kochenderfer; Velibor V. Misic; Robert J. Moss (CoRR, 2014)

Control of epidemics on graphs. - Christopher Ho; Mykel J. Kochenderfer; Vineet Mehta; Rajmonda Sulo Caceres (CDC, 2015)

Continous time autonomous air traffic control for non-towered airports. - Zouhair Mahboubi; Mykel J. Kochenderfer (CDC, 2015)

Initial Scene Configurations for Highway Traffic Propagation. - Tim Allan Wheeler; Mykel J. Kochenderfer; Philipp Robbel (ITSC, 2015)

A Probabilistic Framework for Microscopic Traffic Propagation. - Tim Allan Wheeler; Philipp Robbel; Mykel J. Kochenderfer (ITSC, 2015)

Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version). - Philipp Robbel; Frans A. Oliehoek; Mykel J. Kochenderfer (CoRR, 2015)

Introduction to the Special Issue on Optimal Decision Making in Aerospace Systems. - Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2015)

Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization. - John R. Lepird; Michael P. Owen; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2015)

Optimizing a Collision-Avoidance System for Closely Spaced Parallel Operations. - Kyle A. Smith; Adan E. Vela; Mykel J. Kochenderfer; Wesley A. Olson (J. Aerosp. Inf. Syst., 2015)

Target Surveillance in Adversarial Environments Using POMDPs. - Maxim Egorov; Mykel J. Kochenderfer; Jaak J. Uudmae (AAAI, 2016)

Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. - Philipp Robbel; Frans A. Oliehoek; Mykel J. Kochenderfer (AAAI, 2016)

Customer Simulation for Direct Marketing Experiments. - Yegor Tkachenko; Mykel J. Kochenderfer; Krzysztof Kluza (DSAA, 2016)

Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. - Zachary N. Sunberg; Mykel J. Kochenderfer; Marco Pavone 001 (ICRA, 2016)

Factor graph scene distributions for automotive safety analysis. - Tim Allan Wheeler; Mykel J. Kochenderfer (ITSC, 2016)

Analysis of microscopic behavior models for probabilistic modeling of driver behavior. - Tim Allan Wheeler; Philipp Robbel; Mykel J. Kochenderfer (ITSC, 2016)

Decision-theoretic approach to designing cyber resilient systems. - Vineet Mehta; Paul D. Rowe; Gene Lewis; Ashe Magalhaes; Mykel J. Kochenderfer (NCA, 2016)

Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report). - Zachary N. Sunberg; Mykel J. Kochenderfer; Marco Pavone 001 (CoRR, 2016)

Ground Delay Program Planning Using Markov Decision Processes. - Jonathan Cox; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2016)

Efficient Decision-Theoretic Target Localization. - Louis Dressel; Mykel J. Kochenderfer (ICAPS, 2017)

The value of inferring the internal state of traffic participants for autonomous freeway driving. - Zachary N. Sunberg; Christopher J. Ho; Mykel J. Kochenderfer (ACC, 2017)

Cooperative Multi-agent Control Using Deep Reinforcement Learning. - Jayesh K. Gupta; Maxim Egorov; Mykel J. Kochenderfer (AAMAS Workshops (Selected Papers), 2017)

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks. - Guy Katz; Clark W. Barrett; David L. Dill; Kyle Julian; Mykel J. Kochenderfer (CAV (1), 2017)

Geometric Concept Acquisition in a Dueling Deep Q-Network. - Alex Kuefler; Mykel J. Kochenderfer; James L. McClelland (CogSci, 2017)

Weighted Double Q-learning. - Zongzhang Zhang; Zhiyuan Pan; Mykel J. Kochenderfer (IJCAI, 2017)

Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. - Patrick Slade; Preston Culbertson; Zachary Sunberg; Mykel J. Kochenderfer (IROS, 2017)

Simultaneous policy learning and latent state inference for imitating driver behavior. - Jeremy Morton; Mykel J. Kochenderfer (ITSC, 2017)

Belief state planning for autonomously navigating urban intersections. - Maxime Bouton; Akansel Cosgun; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Imitating driver behavior with generative adversarial networks. - Alex Kuefler; Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Generalizable intention prediction of human drivers at intersections. - Derek J. Phillips; Tim Allan Wheeler; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Deep stochastic radar models. - Tim Allan Wheeler; Martin Holder; Hermann Winner; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. - John Mern; Jayesh K. Gupta; Mykel J. Kochenderfer (SSCI, 2017)

Heuristics for planning with rare catastrophic events. - Youngjun Kim; Yonatan Gur; Mykel J. Kochenderfer (WSC, 2017)

Optimal Testing of Self-Driving Cars. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (CoRR, 2017)

Towards Proving the Adversarial Robustness of Deep Neural Networks. - Guy Katz; Clark W. Barrett; David L. Dill; Kyle Julian; Mykel J. Kochenderfer (FVAV@iFM, 2017)

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2017)

POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces. - Zachary Sunberg; Mykel J. Kochenderfer (CoRR, 2017)

A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. - Dimitris Bertsimas; J. Daniel Griffith; Vishal Gupta 004; Mykel J. Kochenderfer; Velibor V. Misic (Eur. J. Oper. Res., 2017)

Learning Discrete Bayesian Networks from Continuous Data. - Yi-Chun Chen 004; Tim Allan Wheeler; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2017)

POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty. - Maxim Egorov; Zachary N. Sunberg; Edward Balaban; Tim Allan Wheeler; Jayesh K. Gupta; Mykel J. Kochenderfer (J. Mach. Learn. Res., 2017)

Learning Traffic Patterns at Small Airports From Flight Tracks. - Zouhair Mahboubi; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2017)

Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2017)

Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces. - Zachary N. Sunberg; Mykel J. Kochenderfer (ICAPS, 2018)

On the Optimality of Ergodic Trajectories for Information Gathering Tasks. - Louis Dressel; Mykel J. Kochenderfer (ACC, 2018)

Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. - Maxime Bouton; Kyle Julian; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (AAMAS, 2018)

Burn-In Demonstrations for Multi-Modal Imitation Learning. - Alex Kuefler; Mykel J. Kochenderfer (AAMAS, 2018)

Multi-Agent Reinforcement Learning for Multi-Object Tracking. - Pol Rosello; Mykel J. Kochenderfer (AAMAS, 2018)

Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk. - Blake Wulfe; Sunil Chintakindi; Sou-Cheng T. Choi; Rory Hartong-Redden; Anuradha Kodali; Mykel J. Kochenderfer (AAMAS, 2018)

Using Neural Networks to Generate Information Maps for Mobile Sensors. - Louis Dressel; Mykel J. Kochenderfer (CDC, 2018)

Rethinking Style and Content Disentanglement in Variational Autoencoders. - Rui Shu; Shengjia Zhao; Mykel J. Kochenderfer (ICLR (Workshop), 2018)

Scalable Decision Making with Sensor Occlusions for Autonomous Driving. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (ICRA, 2018)

Pseudo-bearing Measurements for Improved Localization of Radio Sources with Multirotor UAVs. - Louis Dressel; Mykel J. Kochenderfer (ICRA, 2018)

People as Sensors: Imputing Maps from Human Actions. - Oladapo Afolabi; Katherine Rose Driggs-Campbell; Roy Dong; Mykel J. Kochenderfer; S. Shankar Sastry (IROS, 2018)

Multi-Agent Imitation Learning for Driving Simulation. - Raunak P. Bhattacharyya; Derek J. Phillips; Blake Wulfe; Jeremy Morton; Alex Kuefler; Mykel J. Kochenderfer (IROS, 2018)

Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. - Yi-Chun Chen 004; Mykel J. Kochenderfer; Matthijs T. J. Spaan (IROS, 2018)

Gaussian Process Dynamic Programming for Optimizing Ungrounded Haptic Guidance. - Julie M. Walker; Allison M. Okamura; Mykel J. Kochenderfer (IROS, 2018)

Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. - Changliu Liu; Mykel J. Kochenderfer (ITSC, 2018)

Closed-Loop Planning for Disaster Evacuation with Stochastic Arrivals. - Chelsea Sidrane; Mykel J. Kochenderfer (ITSC, 2018)

Adaptive Stress Testing for Autonomous Vehicles. - Mark Koren; Saud Alsaif; Ritchie Lee; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2018)

Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2018)

Exploiting Hierarchy for Scalable Decision Making in Autonomous Driving. - Ekhlas Sonu; Zachary Sunberg; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2018)

Value Sensitive Design for Autonomous Vehicle Motion Planning. - Sarah M. Thornton; Francis E. Lewis; Vivian Zhang; Mykel J. Kochenderfer; J. Christian Gerdes (Intelligent Vehicles Symposium, 2018)

Deep Dynamical Modeling and Control of Unsteady Fluid Flows. - Jeremy Morton; Antony Jameson; Mykel J. Kochenderfer; Freddie D. Witherden (NeurIPS, 2018)

Amortized Inference Regularization. - Rui Shu; Hung H. Bui; Shengjia Zhao; Mykel J. Kochenderfer; Stefano Ermon (NeurIPS, 2018)

Robust Super-Level Set Estimation Using Gaussian Processes. - Andrea Zanette; Junzi Zhang; Mykel J. Kochenderfer (ECML/PKDD (2), 2018)

Interpretable Categorization of Heterogeneous Time Series Data. - Ritchie Lee; Mykel J. Kochenderfer; Ole J. Mengshoel; Joshua Silbermann (SDM, 2018)

Toward Scalable Verification for Safety-Critical Deep Networks. - Lindsey Kuper; Guy Katz; Justin Gottschlich; Kyle Julian; Clark W. Barrett; Mykel J. Kochenderfer (CoRR, 2018)

Analyzing Traffic Delay at Unmanaged Intersections. - Changliu Liu; Mykel J. Kochenderfer (CoRR, 2018)

Efficient and Low-cost Localization of Radio Signals with a Multirotor UAV. - Louis Dressel; Mykel J. Kochenderfer (CoRR, 2018)

Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction. - Kyle D. Julian; Mykel J. Kochenderfer (CoRR, 2018)

Deep Neural Network Compression for Aircraft Collision Avoidance Systems. - Kyle D. Julian; Mykel J. Kochenderfer; Michael P. Owen (CoRR, 2018)

Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning. - Kyle D. Julian; Mykel J. Kochenderfer (CoRR, 2018)

Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. - Ritchie Lee; Ole J. Mengshoel; Anshu Saksena; Ryan W. Gardner; Daniel Genin; Joshua Silbermann; Michael P. Owen; Mykel J. Kochenderfer (CoRR, 2018)

Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. - John Mern; Kyle Julian; Rachael E. Tompa; Mykel J. Kochenderfer (CoRR, 2018)

Closed-Loop Policies for Operational Tests of Safety-Critical Systems. - Jeremy Morton; Tim Allan Wheeler; Mykel J. Kochenderfer (IEEE Trans. Intell. Veh., 2018)

Horizontal Maneuver Coordination for Aircraft Collision-Avoidance Systems. - Rachael E. Tompa; Blake Wulfe; Mykel J. Kochenderfer; Michael P. Owen (J. Aerosp. Inf. Syst., 2018)

Object Exchangability in Reinforcement Learning. - John Mern; Dorsa Sadigh; Mykel J. Kochenderfer (AAMAS, 2019)

Model Primitive Hierarchical Lifelong Reinforcement Learning. - Bohan Wu; Jayesh K. Gupta; Mykel J. Kochenderfer (AAMAS, 2019)

The Marabou Framework for Verification and Analysis of Deep Neural Networks. - Guy Katz; Derek A. Huang; Duligur Ibeling; Kyle Julian; Christopher Lazarus; Rachel Lim; Parth Shah 003; Shantanu Thakoor; Haoze Wu 001; Aleksandar Zeljic; David L. Dill; Mykel J. Kochenderfer; et al. (CAV (1), 2019)

Stochastic Model Predictive Control for Scheduling Charging of Electric Vehicle Fleets with Market Power. - Arec L. Jamgochian; Mykel J. Kochenderfer (ICCVE, 2019)

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. - Raunak P. Bhattacharyya; Derek J. Phillips; Changliu Liu; Jayesh K. Gupta; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2019)

Hunting Drones with Other Drones: Tracking a Moving Radio Target. - Louis Dressel; Mykel J. Kochenderfer (ICRA, 2019)

HG-DAgger: Interactive Imitation Learning with Human Experts. - Michael Kelly; Chelsea Sidrane; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2019)

Monte Carlo Tree Search for Policy Optimization. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Zongzhang Zhang; Mykel J. Kochenderfer (IJCAI, 2019)

Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. - Jeremy Morton; Freddie D. Witherden; Mykel J. Kochenderfer (IJCAI, 2019)

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (IROS, 2019)

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2019)

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. - Anthony Corso 001; Peter Du; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ITSC, 2019)

Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. - Masha Itkina; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ITSC, 2019)

Efficient Autonomy Validation in Simulation with Adaptive Stress Testing. - Mark Koren; Mykel J. Kochenderfer (ITSC, 2019)

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (IV, 2019)

Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. - Shushman Choudhury; Jacob P. Knickerbocker; Mykel J. Kochenderfer (IV, 2019)

Pedestrian Collision Avoidance System for Scenarios with Occlusions. - Markus Schratter; Maxime Bouton; Mykel J. Kochenderfer; Daniel Watzenig (IV, 2019)

Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation. - Tim Allan Wheeler; Mykel J. Kochenderfer (IV, 2019)

Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model. - Andrea Zanette; Mykel J. Kochenderfer; Emma Brunskill (NeurIPS, 2019)

Limiting Extrapolation in Linear Approximate Value Iteration. - Andrea Zanette; Alessandro Lazaric; Mykel J. Kochenderfer; Emma Brunskill (NeurIPS, 2019)

Decomposition methods with deep corrections for reinforcement learning. - Maxime Bouton; Kyle D. Julian; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (Auton. Agents Multi Agent Syst., 2019)

Real-time Prediction of Automotive Collision Risk from Monocular Video. - Derek J. Phillips; Juan Carlos Aragon; Anjali Roychowdhury; Regina Madigan; Sunil Chintakindi; Mykel J. Kochenderfer (CoRR, 2019)

Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. - Shushman Choudhury; Mykel J. Kochenderfer (CoRR, 2019)

A General Framework for Structured Learning of Mechanical Systems. - Jayesh K. Gupta; Kunal Menda; Zachary Manchester; Mykel J. Kochenderfer (CoRR, 2019)

A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers. - Kyle D. Julian; Mykel J. Kochenderfer (CoRR, 2019)

Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. - Kyle D. Julian; Shivam Sharma; Jean-Baptiste Jeannin; Mykel J. Kochenderfer (CoRR, 2019)

Rethinking System Health Management. - Edward Balaban; Stephen B. Johnson; Mykel J. Kochenderfer (CoRR, 2019)

Algorithms for Verifying Deep Neural Networks. - Changliu Liu; Tomer Arnon; Christopher Lazarus; Clark W. Barrett; Mykel J. Kochenderfer (CoRR, 2019)

Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. - Maxime Bouton; Jesper Karlsson; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer; Jana Tumova (CoRR, 2019)

Satellite Image Tasking Under Orbit Prediction Uncertainty. - Duncan Eddy; Mykel J. Kochenderfer (CoRR, 2019)

Object Exchangeability in Reinforcement Learning: Extended Abstract. - John Mern; Dorsa Sadigh; Mykel J. Kochenderfer (CoRR, 2019)

Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths. - Shushman Choudhury; Mykel J. Kochenderfer (CoRR, 2019)

Learning an Urban Air Mobility Encounter Model from Expert Preferences. - Sydney M. Katz; Anne-Claire Le Bihan; Mykel J. Kochenderfer (CoRR, 2019)

Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. - Ross E. Allen; Javona White Bear; Jayesh K. Gupta; Mykel J. Kochenderfer (CoRR, 2019)

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. - Anthony Corso 001; Peter Du; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2019)

Markov Decision Processes For Multi-Objective Satellite Task Planning. - Duncan Eddy; Mykel J. Kochenderfer (CoRR, 2019)

Parameter-Conditioned Sequential Generative Modeling of Fluid Flows. - Jeremy Morton; Freddie D. Witherden; Mykel J. Kochenderfer (CoRR, 2019)

Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems. - Kyle D. Julian; Mykel J. Kochenderfer (CoRR, 2019)

Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning. - Sheng Li; Maxim Egorov; Mykel J. Kochenderfer (CoRR, 2019)

Tutorial on the generation of ergodic trajectories with projection-based gradient descent. - Louis Dressel; Mykel J. Kochenderfer (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

Unifying System Health Management and Automated Decision Making. - Edward Balaban; Stephen B. Johnson; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2019)

Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. - Kevin T. Carlberg; Antony Jameson; Mykel J. Kochenderfer; Jeremy Morton; Liqian Peng; Freddie D. Witherden (J. Comput. Phys., 2019)

Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data. - Shane T. Barratt; Mykel J. Kochenderfer; Stephen P. Boyd (IEEE Trans. Intell. Transp. Syst., 2019)

Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. - Kunal Menda; Yi-Chun Chen 004; Justin Grana; James W. Bono; Brendan D. Tracey; Mykel J. Kochenderfer; David H. Wolpert (IEEE Trans. Intell. Transp. Syst., 2019)

Toward Closing the Loop on Human Values. - Sarah M. Thornton; Benjamin Limonchik; Francis E. Lewis; Mykel J. Kochenderfer; J. Christian Gerdes (IEEE Trans. Intell. Veh., 2019)

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. - Maxime Bouton; Jana Tumova; Mykel J. Kochenderfer (AAAI, 2020)

Uncertainty Aware Wildfire Management. - Tina Diao; Samriddhi Singla; Ayan Mukhopadhyay; Ahmed Eldawy; Ross D. Shachter; Mykel J. Kochenderfer (AI4SG@AAAI Fall Symposium, 2020)

Designing Emergency Response Pipelines : Lessons and Challenges. - Ayan Mukhopadhyay; Geoffrey Pettet; Mykel J. Kochenderfer; Abhishek Dubey (AI4SG@AAAI Fall Symposium, 2020)

Adaptive Informative Path Planning with Multimodal Sensing. - Shushman Choudhury; Nate Gruver; Mykel J. Kochenderfer (ICAPS, 2020)

Online Parameter Estimation for Human Driver Behavior Prediction. - Raunak P. Bhattacharyya; Ransalu Senanayake; Kyle Brown; Mykel J. Kochenderfer (ACC, 2020)

Exchangeable Input Representations for Reinforcement Learning. - John Mern; Dorsa Sadigh; Mykel J. Kochenderfer (ACC, 2020)

Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. - Nate Gruver; Jiaming Song; Mykel J. Kochenderfer; Stefano Ermon (AAMAS, 2020)

Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. - Xiaobai Ma; Jayesh K. Gupta; Mykel J. Kochenderfer (AAMAS, 2020)

On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Yevgeniy Vorobeychik; Abhishek Dubey (AAMAS, 2020)

Normalizing Flow Policies for Multi-agent Systems. - Xiaobai Ma; Jayesh K. Gupta; Mykel J. Kochenderfer (GameSec, 2020)

Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. - Kunal Menda; Jean de Becdelièvre; Jayesh K. Gupta; Ilan Kroo; Mykel J. Kochenderfer; Zachary Manchester (ICML, 2020)

Learning Near Optimal Policies with Low Inherent Bellman Error. - Andrea Zanette; Alessandro Lazaric; Mykel J. Kochenderfer; Emma Brunskill (ICML, 2020)

Reinforcement Learning for Adaptive Illumination with X-rays. - Jean-Raymond Betterton; Daniel Ratner; Samuel Webb; Mykel J. Kochenderfer (ICRA, 2020)

Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. - Kyle Brown; Oriana Peltzer; Martin A. Sehr; Mac Schwager; Mykel J. Kochenderfer (ICRA, 2020)

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. - Maxime Bouton; Alireza Nakhaei; David Isele; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2020)

Interpretable Safety Validation for Autonomous Vehicles. - Anthony Corso 001; Mykel J. Kochenderfer (ITSC, 2020)

Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. - Anthony Corso 001; Ritchie Lee; Mykel J. Kochenderfer (ITSC, 2020)

Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. - Kyle D. Julian; Ritchie Lee; Mykel J. Kochenderfer (ITSC, 2020)

Adaptive Stress Testing without Domain Heuristics using Go-Explore. - Mark Koren; Mykel J. Kochenderfer (ITSC, 2020)

Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. - Ransalu Senanayake; Maneekwan Toyungyernsub; Mingyu Wang 002; Mykel J. Kochenderfer; Mac Schwager (ITSC, 2020)

Structured Mechanical Models for Robot Learning and Control. - Jayesh K. Gupta; Kunal Menda; Zachary Manchester; Mykel J. Kochenderfer (L4DC, 2020)

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. - Masha Itkina; Boris Ivanovic; Ransalu Senanayake; Mykel J. Kochenderfer; Marco Pavone 001 (NeurIPS, 2020)

Handling Missing Data with Graph Representation Learning. - Jiaxuan You; Xiaobai Ma; Daisy Yi Ding; Mykel J. Kochenderfer; Jure Leskovec (NeurIPS, 2020)

Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. - Andrea Zanette; Alessandro Lazaric; Mykel J. Kochenderfer; Emma Brunskill (NeurIPS, 2020)

Active Preference-Based Gaussian Process Regression for Reward Learning. - Erdem Biyik; Nicolas Huynh; Mykel J. Kochenderfer; Dorsa Sadigh (Robotics: Science and Systems, 2020)

Robust Spatial-Temporal Incident Prediction. - Ayan Mukhopadhyay; Kai Wang 040; Andrew Perrault; Mykel J. Kochenderfer; Milind Tambe; Yevgeniy Vorobeychik (UAI, 2020)

Model primitives for hierarchical lifelong reinforcement learning. - Bohan Wu; Jayesh K. Gupta; Mykel J. Kochenderfer (Auton. Agents Multi Agent Syst., 2020)

The Adaptive Stress Testing Formulation. - Mark Koren; Anthony Corso 001; Mykel J. Kochenderfer (CoRR, 2020)

STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times. - Oriana Peltzer; Kyle Brown; Mac Schwager; Mykel J. Kochenderfer; Martin A. Sehr (CoRR, 2020)

A Survey of Algorithms for Black-Box Safety Validation. - Anthony Corso 001; Robert J. Moss; Mark Koren; Ritchie Lee; Mykel J. Kochenderfer (CoRR, 2020)

Improving Automated Driving through Planning with Human Internal States. - Zachary Sunberg; Mykel J. Kochenderfer (CoRR, 2020)

A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models. - Ayan Mukhopadhyay; Geoffrey Pettet; Sayyed Vazirizade; Yevgeniy Vorobeychik; Mykel J. Kochenderfer; Abhishek Dubey (CoRR, 2020)

Modeling and Prediction of Human Driver Behavior: A Survey. - Kyle Brown; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2020)

Towards Recurrent Autoregressive Flow Models. - John Mern; Peter Morales; Mykel J. Kochenderfer (CoRR, 2020)

Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations. - Sheng Li; Maxim Egorov; Mykel J. Kochenderfer (CoRR, 2020)

A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations. - Duncan Eddy; Mykel J. Kochenderfer (CoRR, 2020)

Attention Augmented ConvLSTM forEnvironment Prediction. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (CoRR, 2020)

Runtime Safety Assurance Using Reinforcement Learning. - Christopher Lazarus; James G. Lopez; Mykel J. Kochenderfer (CoRR, 2020)

Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems. - Robert J. Moss; Ritchie Lee; Nicholas Visser; Joachim Hochwarth; James G. Lopez; Mykel J. Kochenderfer (CoRR, 2020)

Obstacle Avoidance Using a Monocular Camera. - Kyle Hatch; John Mern; Mykel J. Kochenderfer (CoRR, 2020)

Estimation and control using sampling-based Bayesian reinforcement learning. - Patrick Slade; Zachary N. Sunberg; Mykel J. Kochenderfer (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. - Ritchie Lee; Ole J. Mengshoel; Anshu Saksena; Ryan W. Gardner; Daniel Genin; Joshua Silbermann; Michael P. Owen; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2020)

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. - Carl-Johan Hoel; Katherine Rose Driggs-Campbell; Krister Wolff; Leo Laine; Mykel J. Kochenderfer (IEEE Trans. Intell. Veh., 2020)

Normalized Stanford Helicopter Dataset. - Kunal Menda; Jean de Becdelièvre; Jayesh K. Gupta; Ilan Kroo; Mykel John Kochenderfer; Zachary Manchester (Zenodo, 2020)

Airspace-Encounter-Models/em-model-manned-bayes: Initial public release. - Andrew Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards (Zenodo, 2020)

Airspace-Encounter-Models/em-model-manned-bayes: Additional models added + minor updates. - Andrew Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards (Zenodo, 2020)

Airspace-Encounter-Models/em-model-manned-bayes: BSD-2 License. - Andrew Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards (Zenodo, 2020)

Transfer Learning for Efficient Iterative Safety Validation. - Anthony Corso 001; Mykel J. Kochenderfer (AAAI, 2021)

Improved POMDP Tree Search Planning with Prioritized Action Branching. - John Mern; Anil Yildiz; Lawrence Bush; Tapan Mukerji; Mykel J. Kochenderfer (AAAI, 2021)

Bayesian Optimized Monte Carlo Planning. - John Mern; Anil Yildiz; Zachary Sunberg; Tapan Mukerji; Mykel J. Kochenderfer (AAAI, 2021)

Scalable Anytime Planning for Multi-Agent MDPs. - Shushman Choudhury; Jayesh K. Gupta; Peter Morales; Mykel J. Kochenderfer (AAMAS, 2021)

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. - Sheng Li; Jayesh K. Gupta; Peter Morales; Ross E. Allen; Mykel J. Kochenderfer (AAMAS, 2021)

Hierarchical planning for resource allocation in emergency response systems. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Abhishek Dubey (ICCPS, 2021)

Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. - Liam A. Kruse; Allan L. Reiss; Mykel J. Kochenderfer; Stephanie Balters (ICMLA, 2021)

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. - Xiaobai Ma; Jiachen Li 001; Mykel J. Kochenderfer; David Isele; Kikuo Fujimura (ICRA, 2021)

Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. - Maneekwan Toyungyernsub; Masha Itkina; Ransalu Senanayake; Mykel J. Kochenderfer (ICRA, 2021)

A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks. - Christopher Lazarus; Mykel J. Kochenderfer (AISafety@IJCAI, 2021)

Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm. - Mark Koren; Ahmed Nassar; Mykel J. Kochenderfer (IROS, 2021)

Attention Augmented ConvLSTM for Environment Prediction. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (IROS, 2021)

3D Radar Velocity Maps for Uncertain Dynamic Environments. - Ransalu Senanayake; Kyle Beltran Hatch; Jason Zheng; Mykel J. Kochenderfer (IROS, 2021)

Out-of-Distribution Detection for Automotive Perception. - Julia Nitsch; Masha Itkina; Ransalu Senanayake; Juan I. Nieto 001; Max Schmidt; Roland Siegwart; Mykel J. Kochenderfer; Cesar Cadena 001 (ITSC, 2021)

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. - Phil Chen; Masha Itkina; Ransalu Senanayake; Mykel J. Kochenderfer (NeurIPS, 2021)

WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. - Samriddhi Singla; Ayan Mukhopadhyay; Michael Wilbur; Tina Diao; Vinayak Gajjewar; Ahmed Eldawy; Mykel J. Kochenderfer; Ross D. Shachter; Abhishek Dubey (NeurIPS Datasets and Benchmarks, 2021)

Preference-based Learning of Reward Function Features. - Sydney M. Katz; Amir Maleki; Erdem Biyik; Mykel J. Kochenderfer (CoRR, 2021)

Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. - Kunal Menda; Jayesh K. Gupta; Zachary Manchester; Mykel J. Kochenderfer (CoRR, 2021)

Measurable Monte Carlo Search Error Bounds. - John Mern; Mykel J. Kochenderfer (CoRR, 2021)

Reinforcement Learning for Industrial Control Network Cyber Security Orchestration. - John Mern; Kyle Hatch; Ryan Silva; Jeff Brush; Mykel J. Kochenderfer (CoRR, 2021)

Algorithms for Verifying Deep Neural Networks. - Changliu Liu; Tomer Arnon; Christopher Lazarus; Christopher A. Strong; Clark W. Barrett; Mykel J. Kochenderfer (Found. Trends Optim., 2021)

Efficient Large-Scale Multi-Drone Delivery using Transit Networks. - Shushman Choudhury; Kiril Solovey; Mykel J. Kochenderfer; Marco Pavone 001 (J. Artif. Intell. Res., 2021)

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems. - Anthony Corso 001; Robert J. Moss; Mark Koren; Ritchie Lee; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2021)

Tax-Aware Portfolio Construction via Convex Optimization. - Nicholas Moehle; Mykel J. Kochenderfer; Stephen P. Boyd; Andrew Ang (J. Optim. Theory Appl., 2021)

Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision. - Patrick Slade; Arjun Tambe; Mykel J. Kochenderfer (Sci. Robotics, 2021)

Airspace-Encounter-Models/em-model-manned-bayes: March 2021 - OpenSky Updates. - Andrew Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards (Zenodo, 2021)

Maximum Independent Set Satellite Scheduling World Cities Data Set. - Duncan Eddy; Mykel J. Kochenderfer (Zenodo, 2021)

Airspace-Encounter-Models/em-model-manned-bayes: July 2021 - Terminal Model and Improved Performance. - Andrew J. Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards; Bilal Gill; Randal Guendel; Christine Serres; Ngaire Underhill (Zenodo, 2021)

Airspace-Encounter-Models/em-model-manned-bayes: October 2021. - Andrew J. Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards; Bilal Gill; Randal Guendel; Christine Serres; Ngaire Underhill (Zenodo, 2021)

Airspace-Encounter-Models/em-model-manned-bayes: October 2021. - Andrew J. Weinert; Mykel J. Kochenderfer; Matthew W. M. Edwards; Bilal Gill; Randal Guendel; Christine Serres; Ngaire Underhill (Zenodo, 2021)

A Gray Box Model for Characterizing Driver Behavior. - Soyeon Jung; Ransalu Senanayake; Mykel J. Kochenderfer (SafeAI@AAAI, 2022)

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. - Xiaobai Ma; David Isele; Jayesh K. Gupta; Kikuo Fujimura; Mykel J. Kochenderfer (AAAI, 2022)

Interpretable Local Tree Surrogate Policies. - John Mern; Sidhart Krishnan; Anil Yildiz; Kyle Hatch; Mykel J. Kochenderfer (SafeAI@AAAI, 2022)

Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems. - Ann-Katrin Reuel; Mark Koren; Anthony Corso 001; Mykel J. Kochenderfer (SafeAI@AAAI, 2022)

Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. - Shushman Choudhury; Kiril Solovey; Mykel J. Kochenderfer; Marco Pavone 001 (AAMAS, 2022)

Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. - Jennifer She; Jayesh K. Gupta; Mykel J. Kochenderfer (AAMAS, 2022)

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. - Masha Itkina; Mykel J. Kochenderfer (CoRL, 2022)

Autonomous Attack Mitigation for Industrial Control Systems. - John Mern; Kyle Hatch; Ryan Silva; Cameron Hickert; Tamim Sookoor; Mykel J. Kochenderfer (DSN Workshops, 2022)

Prioritizing emergency evacuations under compounding levels of uncertainty. - Lisa J. Einstein; Robert J. Moss; Mykel J. Kochenderfer (GHTC, 2022)

Strategic Asset Allocation with Illiquid Alternatives. - Eric Luxenberg; Stephen P. Boyd; Misha van Beek; Wen Cao; Mykel J. Kochenderfer (ICAIF, 2022)

Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. - Victoria Magdalena Dax; Mykel J. Kochenderfer; Ransalu Senanayake; Umair Ibrahim (ICRA, 2022)

Multi-Agent Variational Occlusion Inference Using People as Sensors. - Masha Itkina; Ye-Ji Mun; Katherine Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2022)

Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. - Sheng Li; Yutai Zhou; Ross E. Allen; Mykel J. Kochenderfer (ICRA, 2022)

Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). - Shushman Choudhury; Jayesh K. Gupta; Mykel J. Kochenderfer (IJCAI, 2022)

Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. - Amanda Bouman; Joshua Ott; Sung-Kyun Kim; Kenny Chen; Mykel J. Kochenderfer; Brett T. Lopez; Ali-akbar Agha-mohammadi; Joel Burdick (IROS, 2022)

How Do We Fail? Stress Testing Perception in Autonomous Vehicles. - Harrison Delecki; Masha Itkina; Bernard Lange; Ransalu Senanayake; Mykel J. Kochenderfer (IROS, 2022)

Capability-Aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. - Muhammad Fadhil Ginting; Kyohei Otsu; Mykel J. Kochenderfer; Ali-akbar Agha-mohammadi (IROS, 2022)

FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. - Oriana Peltzer; Amanda Bouman; Sung-Kyun Kim; Ransalu Senanayake; Joshua Ott; Harrison Delecki; Mamoru Sobue; Mykel J. Kochenderfer; Mac Schwager; Joel Burdick; Ali-akbar Agha-mohammadi (IROS, 2022)

Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. - Maneekwan Toyungyernsub; Esen Yel; Jiachen Li 001; Mykel J. Kochenderfer (IROS, 2022)

Multi-Objective Policy Gradients with Topological Constraints. - Kyle Hollins Wray; Stas Tiomkin; Mykel J. Kochenderfer; Pieter Abbeel (IROS, 2022)

Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. - Liam A. Kruse; Esen Yel; Ransalu Senanayake; Mykel J. Kochenderfer (ITSC, 2022)

Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints. - Samuel Low; Mykel J. Kochenderfer (L4DC, 2022)

ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. - Christopher A. Strong; Sydney M. Katz; Anthony L. Corso; Mykel J. Kochenderfer (NFM, 2022)

Collaborative Decision Making Using Action Suggestions. - Dylan M. Asmar; Mykel J. Kochenderfer (NeurIPS, 2022)

Risk-Driven Design of Perception Systems. - Anthony Corso 001; Sydney M. Katz; Craig Innes; Xin Du 006; Subramanian Ramamoorthy; Mykel J. Kochenderfer (NeurIPS, 2022)

Interaction Modeling with Multiplex Attention. - Fan-Yun Sun; Isaac Kauvar; Ruohan Zhang; Jiachen Li 001; Mykel J. Kochenderfer; Jiajun Wu 001; Nick Haber (NeurIPS, 2022)

Dynamic multi-robot task allocation under uncertainty and temporal constraints. - Shushman Choudhury; Jayesh K. Gupta; Mykel J. Kochenderfer; Dorsa Sadigh; Jeannette Bohg (Auton. Robots, 2022)

Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. - Arec L. Jamgochian; Kunal Menda; Mykel J. Kochenderfer (CoRR, 2022)

Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. - Arec L. Jamgochian; Di Wu; Kunal Menda; Soyeon Jung; Mykel J. Kochenderfer (CoRR, 2022)

Verifying Inverse Model Neural Networks. - Chelsea Sidrane; Sydney M. Katz; Anthony Corso 001; Mykel J. Kochenderfer (CoRR, 2022)

A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer. - Gabriel Maher; Stephen P. Boyd; Mykel John Kochenderfer; Cristian Matache; Alex Ulitsky; Slava Yukhymuk; Leonid Kopman (CoRR, 2022)

Deep Binary Reinforcement Learning for Scalable Verification. - Christopher Lazarus; Mykel J. Kochenderfer (CoRR, 2022)

Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers. - Sydney M. Katz; Luis E. Alvarez; Michael P. Owen; Samuel Wu; Marc Brittain; Anshuman Das; Mykel J. Kochenderfer (CoRR, 2022)

Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. - Junyoung Park 002; Federico Berto; Arec L. Jamgochian; Mykel J. Kochenderfer; Jinkyoo Park (CoRR, 2022)

Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning. - Bertrand Charpentier; Ransalu Senanayake; Mykel J. Kochenderfer; Stephan Günnemann (CoRR, 2022)

Strategic Asset Allocation with Illiquid Alternatives. - Eric Luxenberg; Stephen P. Boyd; Mykel J. Kochenderfer; Misha van Beek; Wen Cao; Steven Diamond; Alex Ulitsky; Kunal Menda; Vidy Vairavamurthy (CoRR, 2022)

EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. - Jiachen Li 001; Chuanbo Hua; Jinkyoo Park; Hengbo Ma; Victoria Magdalena Dax; Mykel J. Kochenderfer (CoRR, 2022)

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. - Nicholas Rober; Sydney M. Katz; Chelsea Sidrane; Esen Yel; Michael Everett; Mykel J. Kochenderfer; Jonathan P. How (CoRR, 2022)

LOPR: Latent Occupancy PRediction using Generative Models. - Bernard Lange; Masha Itkina; Mykel J. Kochenderfer (CoRR, 2022)

Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation. - Michael H. Lim; Tyler J. Becker; Mykel J. Kochenderfer; Claire J. Tomlin; Zachary N. Sunberg (CoRR, 2022)

A Deep Reinforcement Learning Approach to Rare Event Estimation. - Anthony Corso 001; Kyu-Young Kim; Shubh Gupta; Grace Gao; Mykel J. Kochenderfer (CoRR, 2022)

A POMDP Model for Safe Geological Carbon Sequestration. - Anthony Corso 001; Yizheng Wang; Markus Zechner; Jef Caers; Mykel J. Kochenderfer (CoRR, 2022)

Scalable Online Planning for Multi-Agent MDPs. - Shushman Choudhury; Jayesh K. Gupta; Peter Morales; Mykel J. Kochenderfer (J. Artif. Intell. Res., 2022)

OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems. - Chelsea Sidrane; Amir Maleki; Ahmed Irfan; Mykel J. Kochenderfer (J. Mach. Learn. Res., 2022)

Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Abhishek Dubey (ACM Trans. Cyber Phys. Syst., 2022)

A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. - Raunak P. Bhattacharyya; Soyeon Jung; Liam A. Kruse; Ransalu Senanayake; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2022)

Improving Automated Driving Through POMDP Planning With Human Internal States. - Zachary Sunberg; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2022)

Reluplex: a calculus for reasoning about deep neural networks. - Guy Katz; Clark W. Barrett; David L. Dill; Kyle Julian; Mykel J. Kochenderfer (Formal Methods Syst. Des., 2022)

Verification of Image-Based Neural Network Controllers Using Generative Models. - Sydney M. Katz; Anthony L. Corso; Christopher A. Strong; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2022)

Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. - Arec L. Jamgochian; Anthony Corso 001; Mykel J. Kochenderfer (ICAPS, 2023)

Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. - Zahra Shahrooei; Mykel J. Kochenderfer; Ali Baheri (ECC, 2023)

Deep Normalizing Flows for State Estimation. - Harrison Delecki; Liam A. Kruse; Marc R. Schlichting; Mykel J. Kochenderfer (FUSION, 2023)

Model Predictive Optimized Path Integral Strategies. - Dylan M. Asmar; Ransalu Senanayake; Shawn Manuel; Mykel J. Kochenderfer (ICRA, 2023)

Fast and Scalable Signal Inference for Active Robotic Source Seeking. - Christopher E. Denniston; Oriana Peltzer; Joshua Ott; Sangwoo Moon; Sung-Kyun Kim; Gaurav S. Sukhatme; Mykel J. Kochenderfer; Mac Schwager; Ali-akbar Agha-mohammadi (ICRA, 2023)

Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. - Muhammad Fadhil Ginting; Sung-Kyun Kim; Oriana Peltzer; Joshua Ott; Sunggoo Jung; Mykel J. Kochenderfer; Ali-akbar Agha-mohammadi (ICRA, 2023)

SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. - Arec L. Jamgochian; Etienne Bührle; Johannes Fischer 007; Mykel J. Kochenderfer (ICRA, 2023)

Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. - Joshua Ott; Edward Balaban; Mykel J. Kochenderfer (ICRA, 2023)

Robust Driving Policy Learning with Guided Meta Reinforcement Learning. - Kanghoon Lee; Jiachen Li 001; David Isele; Jinkyoo Park; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2023)

SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. - Marc R. Schlichting; Nina V. Boord; Anthony L. Corso; Mykel J. Kochenderfer (ITSC, 2023)

Experience Filter: Using Past Experiences on Unseen Tasks or Environments. - Anil Yildiz; Esen Yel; Anthony L. Corso; Kyle Hollins Wray; Stefan J. Witwicki; Mykel J. Kochenderfer (IV, 2023)

Model-based Validation as Probabilistic Inference. - Harrison Delecki; Anthony Corso 001; Mykel J. Kochenderfer (L4DC, 2023)

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. - Elysia Q. Smyers; Sydney M. Katz; Anthony Corso 001; Mykel J. Kochenderfer (NeurIPS, 2023)

Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. - Jiankai Sun; Yiqi Jiang; Jianing Qiu; Parth Nobel; Mykel J. Kochenderfer; Mac Schwager (NeurIPS, 2023)

Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions. - Oriana Peltzer; Dylan M. Asmar; Mac Schwager; Mykel J. Kochenderfer (CoRR, 2023)

Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures. - Soyeon Jung; Mykel J. Kochenderfer (CoRR, 2023)

Optimizing Carbon Storage Operations for Long-Term Safety. - Yizheng Wang; Markus Zechner; Gege Wen; Anthony Louis Corso; John Michael Mern; Mykel J. Kochenderfer; Jef Karel Caers (CoRR, 2023)

Bayesian Safety Validation for Black-Box Systems. - Robert J. Moss; Mykel J. Kochenderfer; Maxime Gariel; Arthur Dubois (CoRR, 2023)

Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. - Ali Baheri; Mykel J. Kochenderfer (CoRR, 2023)

Efficient Determination of Safety Requirements for Perception Systems. - Sydney M. Katz; Anthony L. Corso; Esen Yel; Mykel J. Kochenderfer (CoRR, 2023)

A Holistic Assessment of the Reliability of Machine Learning Systems. - Anthony Corso 001; David Karamadian; Romeo Valentin; Mary Cooper; Mykel J. Kochenderfer (CoRR, 2023)

Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing. - Kyle Brown; Dylan M. Asmar; Mac Schwager; Mykel J. Kochenderfer (CoRR, 2023)

Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards. - Alexandros E. Tzikas; Derek Knowles; Grace Xingxin Gao; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2023)

Optimality Guarantees for Particle Belief Approximation of POMDPs. - Michael H. Lim; Tyler J. Becker; Mykel J. Kochenderfer; Claire J. Tomlin; Zachary N. Sunberg (J. Artif. Intell. Res., 2023)

Generating probabilistic safety guarantees for neural network controllers. - Sydney M. Katz; Kyle D. Julian; Christopher A. Strong; Mykel J. Kochenderfer (Mach. Learn., 2023)

Guest Editorial: Special issue on robust machine learning. - Ransalu Senanayake; Daniel J. Fremont; Mykel J. Kochenderfer; Alessio R. Lomuscio; Dragos D. Margineantu; Cheng Soon Ong (Mach. Learn., 2023)

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. - Raunak P. Bhattacharyya; Blake Wulfe; Derek J. Phillips; Alex Kuefler; Jeremy Morton; Ransalu Senanayake; Mykel J. Kochenderfer (IEEE Trans. Intell. Transp. Syst., 2023)

Global optimization of objective functions represented by ReLU networks. - Christopher A. Strong; Haoze Wu 001; Aleksandar Zeljic; Kyle D. Julian; Guy Katz; Clark W. Barrett; Mykel J. Kochenderfer (Mach. Learn., 2023)

Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. - Isaac Ronald Ward; Dylan M. Asmar; Mansur M. Arief; Jana Krystofova Mike; Mykel J. Kochenderfer (CBMS, 2024)

Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing. - Joshua Ott; Edward Balaban; Mykel J. Kochenderfer (CoDIT, 2024)

Risk-aware Meta-level Decision Making for Exploration Under Uncertainty. - Joshua Ott; Sung-Kyun Kim; Amanda Bouman; Oriana Peltzer; Mamoru Sobue; Harrison Delecki; Mykel J. Kochenderfer; Joel Burdick; Ali-akbar Agha-mohammadi (CoDIT, 2024)

Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. - Paula Stocco; Suhas Chundi; Arec L. Jamgochian; Mykel J. Kochenderfer (ICAPS, 2024)

Constrained Hierarchical Monte Carlo Belief-State Planning. - Arec L. Jamgochian; Hugo Buurmeijer; Kyle Hollins Wray; Anthony Corso 001; Mykel J. Kochenderfer (ICRA, 2024)

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. - Bernard Lange; Jiachen Li 001; Mykel J. Kochenderfer (ICRA, 2024)

Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint). - Michael H. Lim; Tyler J. Becker; Mykel J. Kochenderfer; Claire J. Tomlin; Zachary Sunberg (IJCAI, 2024)

ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. - Robert J. Moss; Arec L. Jamgochian; Johannes Fischer 007; Anthony Corso 001; Mykel J. Kochenderfer (IJCAI, 2024)

Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments. - Muhammad Fadhil Ginting; David D. Fan; Sung-Kyun Kim; Mykel J. Kochenderfer; Ali-Akbar Agha-Mohammadi (IROS, 2024)

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. - Maneekwan Toyungyernsub; Esen Yel; Jiachen Li 001; Mykel J. Kochenderfer (IV, 2024)

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices. - Anka Reuel-Lamparth; Amelia F. Hardy; Chandler Smith; Max Lamparth; Malcolm Hardy; Mykel J. Kochenderfer (NeurIPS, 2024)

BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. - Robert J. Moss; Anthony Corso 001; Jef Caers; Mykel J. Kochenderfer (RLJ, 2024)

SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks. - Muhammad Fadhil Ginting; Sung-Kyun Kim; David D. Fan; Matteo Palieri; Mykel J. Kochenderfer; Ali-akbar Agha-mohammadi (Robotics: Science and Systems, 2024)

Efficient Line-of-Sight Viewpoint Sampling in Complex Environments for Autonomous Surface Inspection. - Sangwoo Moon; Sung-Kyun Kim; Oriana Peltzer; Mykel J. Kochenderfer; Shehryar Khattak (SSRR, 2024)

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. - Enna Sachdeva; Nakul Agarwal; Suhas Chundi; Sean Roelofs; Jiachen Li 001; Mykel J. Kochenderfer; Chiho Choi; Behzad Dariush (WACV, 2024)

Graph Q-Learning for Combinatorial Optimization. - Victoria Magdalena Dax; Jiachen Li 001; Kevin Leahy 001; Mykel J. Kochenderfer (CoRR, 2024)

The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. - Ali Baheri; Mykel J. Kochenderfer (CoRR, 2024)

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. - Jiachen Li 001; Chuanbo Hua; Hengbo Ma; Jinkyoo Park; Victoria Magdalena Dax; Mykel J. Kochenderfer (CoRR, 2024)

Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. - Alexandros E. Tzikas; Licio Romao; Mert Pilanci; Alessandro Abate; Mykel J. Kochenderfer (CoRR, 2024)

Entropy-regularized Point-based Value Iteration. - Harrison Delecki; Marcell Vazquez-Chanlatte; Esen Yel; Kyle Hollins Wray; Tomer Arnon; Stefan J. Witwicki; Mykel J. Kochenderfer (CoRR, 2024)

Robotic Learning for Adaptive Informative Path Planning. - Marija Popovic; Joshua Ott; Julius Rückin; Mykel J. Kochenderfer (CoRR, 2024)

Diffusion-Based Failure Sampling for Cyber-Physical Systems. - Harrison Delecki; Marc R. Schlichting; Mansur M. Arief; Anthony Corso 001; Marcell Vazquez-Chanlatte; Mykel J. Kochenderfer (CoRR, 2024)

ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Likely Toxic Prompts. - Amelia F. Hardy; Houjun Liu; Bernard Lange; Mykel J. Kochenderfer (CoRR, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Ben Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (CoRR, 2024)

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features. - Romeo Valentin; Sydney M. Katz; Joonghyun Lee; Don Walker; Matthew Sorgenfrei; Mykel J. Kochenderfer (CoRR, 2024)

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. - Bernard Lange; Masha Itkina; Jiachen Li 001; Mykel J. Kochenderfer (CoRR, 2024)

Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (CoRR, 2024)

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach. - Zahra Shahrooei; Mykel J. Kochenderfer; Ali Baheri (CoRR, 2024)

Informative Input Design for Dynamic Mode Decomposition. - Joshua Ott; Mykel J. Kochenderfer; Stephen P. Boyd (CoRR, 2024)

Optimal Ground Station Selection for Low-Earth Orbiting Satellites. - Duncan Eddy; Michelle Ho; Mykel J. Kochenderfer (CoRR, 2024)

Multi-scale Generative Modeling for Fast Sampling. - Xiongye Xiao; Shixuan Li; Luzhe Huang; Gengshuo Liu; Trung-Kien Nguyen; Yi Huang; Di Chang; Mykel J. Kochenderfer; Paul Bogdan (CoRR, 2024)

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models. - Muhammad Fadhil Ginting; Dong-Ki Kim; Sung-Kyun Kim; Bandi Jai Krishna; Mykel J. Kochenderfer; Shayegan Omidshafiei; Ali-akbar Agha-mohammadi (CoRR, 2024)

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals. - Harrison Delecki; Sydney M. Katz; Mykel J. Kochenderfer (CoRR, 2024)

Discrete-Time Distribution Steering using Monte Carlo Tree Search. - Alexandros E. Tzikas; Liam A. Kruse; Mansur M. Arief; Mykel J. Kochenderfer; Stephen Boyd (CoRR, 2024)

Efficient Multiagent Planning via Shared Action Suggestions. - Dylan M. Asmar; Mykel J. Kochenderfer (CoRR, 2024)

Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering. - Francois Chaubard; Duncan Eddy; Mykel J. Kochenderfer (CoRR, 2024)

Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy (Dagstuhl Seminar 24361). - Nils Jansen 001; Mykel J. Kochenderfer; Jan Kretínský; Jana Tumova; Maris F. L. Galesloot (Dagstuhl Reports, 2024)

Active preference-based Gaussian process regression for reward learning and optimization. - Erdem Biyik; Nicolas Huynh; Mykel J. Kochenderfer; Dorsa Sadigh (Int. J. Robotics Res., 2024)

Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression Using Human-Autonomous Teaming. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2024)

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems. - Robert J. Moss; Mykel J. Kochenderfer; Maxime Gariel; Arthur Dubois (J. Aerosp. Inf. Syst., 2024)

Satisfiability.jl: Satisfiability Modulo Theories in Julia. - Emiko Soroka; Mykel J. Kochenderfer; Sanjay Lall (J. Open Source Softw., 2024)

Approximate sequential optimization for informative path planning. - Joshua Ott; Mykel J. Kochenderfer; Stephen P. Boyd (Robotics Auton. Syst., 2024)

Learning-based methods for adaptive informative path planning. - Marija Popovic; Joshua Ott; Julius Rückin; Mykel J. Kochenderfer (Robotics Auton. Syst., 2024)

Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. - Jiachen Li 001; David Isele; Kanghoon Lee; Jinkyoo Park; Kikuo Fujimura; Mykel J. Kochenderfer (IEEE Trans. Robotics, 2024)

Disentangled Neural Relational Inference for Interpretable Motion Prediction. - Victoria Magdalena Dax; Jiachen Li 001; Enna Sachdeva; Nakul Agarwal; Mykel J. Kochenderfer (IEEE Robotics Autom. Lett., 2024)

Distributed Online Planning for Min-Max Problems in Networked Markov Games. - Alexandros E. Tzikas; Jinkyoo Park; Mykel J. Kochenderfer; Ross E. Allen (IEEE Robotics Autom. Lett., 2024)

PyroRL: A Reinforcement Learning Environment for Wildfire Evacuation. - Joseph Guman; Joseph O'Brien; Christopher Lawrence Pondoc; Mykel J. Kochenderfer (Zenodo, 2024)

Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows. - Liam Anthony Kruse; Alexandros E. Tzikas; Harrison Delecki; Mansur M. Arief; Mykel J. Kochenderfer (AAAI, 2025)

Responsible AI in the Global Context: Maturity Model and Survey. - Anka Reuel; Patrick Connolly; Kiana Jafari Meimandi; Shekhar Tewari; Jakub Wiatrak; Dikshita Venkatesh; Mykel J. Kochenderfer (FAccT, 2025)

More than Marketing? On the Information Value of AI Benchmarks for Practitioners. - Amelia F. Hardy; Anka Reuel; Kiana Jafari Meimandi; Lisa Soder; Allie Griffith; Dylan M. Asmar; Sanmi Koyejo; Michael S. Bernstein; Mykel John Kochenderfer (IUI, 2025)

Informative Input Design for Dynamic Mode Decomposition. - Joshua Ott; Mykel J. Kochenderfer; Stephen Boyd (L4DC, 2025)

Semi-Markovian planning to coordinate aerial and maritime medical evacuation platforms. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (AI Mag., 2025)

Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures. - Soyeon Jung; Amelia Hardy; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2025)

Open Problems in Technical AI Governance. - Anka Reuel; Benjamin Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (Trans. Mach. Learn. Res., 2025)

ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis. - Logan Mondal Bhamidipaty; Mykel J. Kochenderfer; Trevor Hastie (Zenodo, 2025)

Physics-informed Gaussian Processes for Safe Envelope Expansion. - D. Isaiah Harp; Joshua Ott; Dylan M. Asmar; John Alora; Mykel J. Kochenderfer (CoRR, 2025)

Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance. - William Kuhl; Jun Wang; Duncan Eddy; Mykel J. Kochenderfer (CoRR, 2025)

A General Bayesian Framework for Informative Input Design in System Identification. - Alexandros E. Tzikas; Mykel J. Kochenderfer (CoRR, 2025)

ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis. - Logan Mondal Bhamidipaty; Mykel J. Kochenderfer; Trevor Hastie (J. Open Source Softw., 2025)

Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to U.S. Lithium Resources. - Mansur M. Arief; Yasmine Alonso; CJ Oshiro; William Xu; Anthony Corso 001; David Zhen Yin; Jef Karel Caers; Mykel J. Kochenderfer (CoRR, 2025)

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. - Mansur M. Arief; Mike Timmerman; Jiachen Li 001; David Isele; Mykel J. Kochenderfer (IEEE Robotics Autom. Lett., 2025)

LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool. - Marc R. Schlichting; Vale Rasmussen; Heba Alazzeh; Houjun Liu; Kiana Jafari Meimandi; Amelia F. Hardy; Dylan M. Asmar; Mykel J. Kochenderfer (CoRR, 2025)

Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures. - Samuel I. Akinwande; Chelsea Sidrane; Mykel J. Kochenderfer; Clark W. Barrett (CoRR, 2025)

Correction: Tax-Aware Portfolio Construction Via Convex Optimization. - Nicholas Moehle; Mykel J. Kochenderfer; Stephen P. Boyd; Andrew Ang (J. Optim. Theory Appl., 2025)

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Sung-Kyun Kim; Muhammad Fadhil Ginting; Xianmei Lei; Jeffrey A. Edlund; Seyed Abolfazl Fakoorian; Amanda Bouman; Fernando Chavez; Taeyeon Kim; et al. (CoRR, 2025)

Model Identification Adaptive Control with ρ-POMDP Planning. - Michelle Ho; Arec L. Jamgochian; Mykel J. Kochenderfer (CoRR, 2025)

On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models. - Kyla Guru; Robert J. Moss; Mykel J. Kochenderfer (CoRR, 2025)

Conditional Deep Generative Models for Belief State Planning. - Antoine Bigeard; Anthony Corso 001; Mykel J. Kochenderfer (CoRR, 2025)

Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals. - Liam A. Kruse; Marc R. Schlichting; Mykel J. Kochenderfer (CoRR, 2025)

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization. - Francois Chaubard; Mykel J. Kochenderfer (CoRR, 2025)

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces. - Romeo Valentin; Sydney M. Katz; Vincent Vanhoucke; Mykel J. Kochenderfer (CoRR, 2025)

The Measurement Imbalance in Agentic AI Evaluation Undermines Industry Productivity Claims. - Kiana Jafari Meimandi; Gabriela Aránguiz-Dias; Grace Ra Kim; Lana Saadeddin; Mykel J. Kochenderfer (CoRR, 2025)

Diffusion Models for Safety Validation of Autonomous Driving Systems. - Juanran Wang; Marc R. Schlichting; Harrison Delecki; Mykel J. Kochenderfer (CoRR, 2025)

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting. - Bernard Lange; Anil Yildiz; Mansur M. Arief; Shehryar Khattak; Mykel J. Kochenderfer; Georgios Georgakis (CoRR, 2025)

Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers. - Juanran Wang; Marc R. Schlichting; Mykel J. Kochenderfer (CoRR, 2025)

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering. - Muhammad Fadhil Ginting; Dong-Ki Kim; Xiangyun Meng; Andrzej Reinke; Bandi Jai Krishna; Navid Kayhani; Oriana Peltzer; David D. Fan; Amirreza Shaban; Sung-Kyun Kim; Mykel J. Kochenderfer; Ali-akbar Agha-mohammadi; et al. (CoRR, 2025)

CompressedBeliefMDPs.jl: A Julia Package for Solving Large POMDPs with Belief Compression. - Logan Mondal Bhamidipaty; Mykel J. Kochenderfer (J. Open Source Softw., 2025)

Distributionally Robust Control with Constraints on Linear Unidimensional Projections. - Alexandros E. Tzikas; Lukas Fiechtner; Arec L. Jamgochian; Mykel J. Kochenderfer (CoRR, 2025)

Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System. - Romeo Valentin; Sydney M. Katz; Artur B. Carneiro; Don Walker; Mykel J. Kochenderfer (CoRR, 2025)

Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks. - Laura Lützow; Michael Eichelbeck; Mykel J. Kochenderfer; Matthias Althoff (CoRR, 2025)