Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. - David Isele; Mohammad Rostami; Eric Eaton (IJCAI, 2016)

Lifelong learning for disturbance rejection on mobile robots. - David Isele; José-Marcio Luna; Eric Eaton; Gabriel Victor de la Cruz; James Irwin; Brandon Kallaher; Matthew E. Taylor (IROS, 2016)

Representations for Continuous Learning. - David Isele (AAAI, 2017)

Vertex reconstruction of neutrino interactions using deep learning. - Adam M. Terwilliger; Gabriel N. Perdue; David Isele; Robert M. Patton; Steven R. Young (IJCNN, 2017)

Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections. - David Isele; Akansel Cosgun; Kikuo Fujimura (CoRR, 2017)

Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. - David Isele; Akansel Cosgun; Kaushik Subramanian; Kikuo Fujimura (CoRR, 2017)

Transferring Autonomous Driving Knowledge on Simulated and Real Intersections. - David Isele; Akansel Cosgun (CoRR, 2017)

Selective Experience Replay for Lifelong Learning. - David Isele; Akansel Cosgun (AAAI, 2018)

Comparing Reward Shaping, Visual Hints, and Curriculum Learning. - Rey Pocius; David Isele; Mark Roberts; David W. Aha (AAAI, 2018)

Modeling Consecutive Task Learning with Task Graph Agendas. - David Isele; Eric Eaton; Mark Roberts; David W. Aha (AAMAS, 2018)

Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. - David Isele; Reza Rahimi; Akansel Cosgun; Kaushik Subramanian; Kikuo Fujimura (ICRA, 2018)

Safe Reinforcement Learning on Autonomous Vehicles. - David Isele; Alireza Nakhaei; Kikuo Fujimura (IROS, 2018)

Uncertainty-Aware Data Aggregation for Deep Imitation Learning. - Yuchen Cui; David Isele; Scott Niekum; Kikuo Fujimura (ICRA, 2019)

Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. - Anahita Mohseni-Kabir; David Isele; Kikuo Fujimura (ICRA, 2019)

Interactive Decision Making for Autonomous Vehicles in Dense Traffic. - David Isele (ITSC, 2019)

Accurate Trajectory Following for Automated Vehicles in Dynamic Environments. - Huckleberry Febbo; David Isele (ACC, 2020)

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. - Jiachen Yang; Alireza Nakhaei; David Isele; Kikuo Fujimura; Hongyuan Zha (ICLR, 2020)

A Comprehensive Trajectory Planner for a Person-Following ATV. - Huckleberry Febbo; Jiawei Huang 006; David Isele (IROS, 2020)

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

Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. - Mohammad Rostami; David Isele; Eric Eaton (J. Artif. Intell. Res., 2020)

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)

Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. - Ran Tian; Liting Sun; Masayoshi Tomizuka; David Isele (ICRA, 2021)

Risk-Aware Lane Selection on Highway with Dynamic Obstacles. - Sangjae Bae; David Isele; Kikuo Fujimura; Scott J. Moura (IV, 2021)

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

SLAS: Speed and Lane Advisory System for Highway Navigation. - Faizan M. Tariq; David Isele; John S. Baras; Sangjae Bae (CDC, 2022)

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IROS, 2022)

Predicting Parameters for Modeling Traffic Participants. - Ahmadreza Moradipari; Sangjae Bae; Mahnoosh Alizadeh; Ehsan Moradi-Pari; David Isele (ITSC, 2022)

Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. - Keuntaek Lee; David Isele; Evangelos A. Theodorou; Sangjae Bae (IEEE Robotics Autom. Lett., 2022)

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. - Piyush Gupta; David Isele; Donggun Lee; Sangjae Bae (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)

RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. - Faizan M. Tariq; David Isele; John S. Baras; Sangjae Bae (ITSC, 2023)

Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. - Siyu Dai; Sangjae Bae; David Isele (CoRR, 2023)

Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. - Sangjae Bae; David Isele; Alireza Nakhaei; Peng Xu; Alexandre Miranda Añon; Chiho Choi; Kikuo Fujimura; Scott J. Moura (IEEE Trans. Control. Syst. Technol., 2023)

Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. - Alexandre Miranda Añon; Sangjae Bae; Manish Saroya; David Isele (ICRA, 2024)

Don't Get Stuck: A Deadlock Recovery Approach. - Francesca Baldini; Faizan M. Tariq; Sangjae Bae; David Isele (ITSC, 2024)

Gaussian Lane Keeping: A Robust Prediction Baseline. - David Isele; Piyush Gupta; Xinyi Liu; Sangjae Bae (ITSC, 2024)

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. - Piyush Gupta; David Isele; Sangjae Bae (IV, 2024)

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. - Lin Song 001; David Isele; Naira Hovakimyan; Sangjae Bae (IV, 2024)

Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. - Haimin Hu; David Isele; Sangjae Bae; Jaime F. Fisac (Int. J. Robotics Res., 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)

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees. - Piyush Gupta; David Isele; Enna Sachdeva; Pin-Hao Huang; Behzad Dariush; Kwonjoon Lee; Sangjae Bae (CoRR, 2025)

End-to-End Predictive Planner for Autonomous Driving with Consistency Models. - Anjian Li; Sangjae Bae; David Isele; Ryne Beeson; Faizan M. Tariq (CoRR, 2025)

Delayed-Decision Motion Planning in the Presence of Multiple Predictions. - David Isele; Alexandre Miranda Añon; Faizan M. Tariq; Goro Yeh; Avinash Singh; Sangjae Bae (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)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. - Jinning Li 002; Jiachen Li 001; Sangjae Bae; David Isele (IEEE Robotics Autom. Lett., 2025)

Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations. - Piyush Gupta; Sangjae Bae; David Isele (CoRR, 2025)

Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking. - Farhad Nawaz; Minjun Sung; Darshan Gadginmath; Jovin D'sa; Sangjae Bae; David Isele; Nadia Figueroa; Nikolai Matni; Faizan M. Tariq (CoRR, 2025)

Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving. - Faizan M. Tariq; Zheng-Hang Yeh; Avinash Singh; David Isele; Sangjae Bae (CoRR, 2025)

Active Probing with Multimodal Predictions for Motion Planning. - Darshan Gadginmath; Farhad Nawaz; Minjun Sung; Faizan M. Tariq; Sangjae Bae; David Isele; Fabio Pasqualetti; Jovin D'sa (CoRR, 2025)

IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving. - Kanghyun Ryu; Minjun Sung; Piyush Gupta; Jovin D'sa; Faizan M. Tariq; David Isele; Sangjae Bae (CoRR, 2025)