Learning an Outlier-Robust Kalman Filter. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (ECML, 2007)

A Kalman filter for robust outlier detection. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (IROS, 2007)

Path integral-based stochastic optimal control for rigid body dynamics. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ADPRL, 2009)

Stochastic Differential Dynamic Programming. - Evangelos A. Theodorou; Yuval Tassa; Emo Todorov (ACC, 2010)

Reinforcement learning of full-body humanoid motor skills. - Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Humanoids, 2010)

Reinforcement learning of motor skills in high dimensions: A path integral approach. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ICRA, 2010)

Variable Impedance Control - A Reinforcement Learning Approach. - Jonas Buchli; Evangelos A. Theodorou; Freek Stulp; Stefan Schaal (Robotics: Science and Systems, 2010)

A Generalized Path Integral Control Approach to Reinforcement Learning. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (J. Mach. Learn. Res., 2010)

Learning Policy Improvements with Path Integrals. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (AISTATS, 2010)

Path integral control and bounded rationality. - Daniel A. Braun 001; Pedro A. Ortega; Evangelos A. Theodorou; Stefan Schaal (ADPRL, 2011)

Neuromuscular stochastic optimal control of a tendon driven index finger model. - Evangelos A. Theodorou; Emanuel Todorov; Francisco J. Valero Cuevas (ACC, 2011)

Reinforcement learning of impedance control in stochastic force fields. - Freek Stulp; Jonas Buchli; Alice Ellmer; Michael N. Mistry; Evangelos A. Theodorou; Stefan Schaal (ICDL-EPIROB, 2011)

STOMP: Stochastic trajectory optimization for motion planning. - Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Peter Pastor; Stefan Schaal (ICRA, 2011)

Skill learning and task outcome prediction for manipulation. - Peter Pastor; Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Stefan Schaal (ICRA, 2011)

Learning to grasp under uncertainty. - Freek Stulp; Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ICRA, 2011)

Movement segmentation using a primitive library. - Franziska Meier; Evangelos A. Theodorou; Freek Stulp; Stefan Schaal (IROS, 2011)

Learning motion primitive goals for robust manipulation. - Freek Stulp; Evangelos A. Theodorou; Mrinal Kalakrishnan; Peter Pastor; Ludovic Righetti; Stefan Schaal (IROS, 2011)

Learning variable impedance control. - Jonas Buchli; Freek Stulp; Evangelos A. Theodorou; Stefan Schaal (Int. J. Robotics Res., 2011)

Stochastic optimal control for nonlinear markov jump diffusion processes. - Evangelos A. Theodorou; Emanuel Todorov (ACC, 2012)

Relative entropy and free energy dualities: Connections to Path Integral and KL control. - Evangelos A. Theodorou; Emanuel Todorov (CDC, 2012)

Reduced dimensionality control for the ACT hand. - Mark Malhotra; Eric Rombokas; Evangelos A. Theodorou; Emanuel Todorov; Yoky Matsuoka (ICRA, 2012)

Tendon-driven control of biomechanical and robotic systems: A path integral reinforcement learning approach. - Eric Rombokas; Evangelos A. Theodorou; Mark Malhotra; Emo Todorov; Yoky Matsuoka (ICRA, 2012)

Tendon-Driven Variable Impedance Control Using Reinforcement Learning. - Eric Rombokas; Mark Malhotra; Evangelos A. Theodorou; Yoky Matsuoka; Emo Todorov (Robotics: Science and Systems, 2012)

Movement Segmentation and Recognition for Imitation Learning. - Franziska Meier; Evangelos A. Theodorou; Stefan Schaal (AISTATS, 2012)

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments. - Freek Stulp; Jonas Buchli; Alice Ellmer; Michael N. Mistry; Evangelos A. Theodorou; Stefan Schaal (IEEE Trans. Auton. Ment. Dev., 2012)

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation. - Freek Stulp; Evangelos A. Theodorou; Stefan Schaal (IEEE Trans. Robotics, 2012)

Free energy based policy gradients. - Evangelos A. Theodorou; Jiri Najemnik; Emanuel Todorov (ADPRL, 2013)

Multi-robot active SLAM with relative entropy optimization. - Michail Kontitsis; Evangelos A. Theodorou; Emanuel Todorov (ACC, 2013)

The δ - sensitivity and its application to stochastic optimal control of nonlinear diffusions. - Evangelos A. Theodorou; Emo Todorov (ACC, 2013)

Convexity of optimal linear controller design. - Krishnamurthy Dvijotham; Evangelos A. Theodorou; Emanuel Todorov; Maryam Fazel (CDC, 2013)

Time varying nonlinear Policy Gradients. - Evangelos A. Theodorou; Krishnamurthy Dvijotham; Emo Todorov (CDC, 2013)

From dynamic movement primitives to associative skill memories. - Peter Pastor; Mrinal Kalakrishnan; Franziska Meier; Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Robotics Auton. Syst., 2013)

Information-theoretic stochastic optimal control via incremental sampling-based algorithms. - Oktay Arslan; Evangelos A. Theodorou; Panagiotis Tsiotras (ADPRL, 2014)

Nonparametric infinite horizon Kullback-Leibler stochastic control. - Yunpeng Pan; Evangelos A. Theodorou (ADPRL, 2014)

Continuous-time differential dynamic programming with terminal constraints. - Wei Sun 032; Evangelos A. Theodorou; Panagiotis Tsiotras (ADPRL, 2014)

Probabilistic Differential Dynamic Programming. - Yunpeng Pan; Evangelos A. Theodorou (NIPS, 2014)

Nonparametric Kullback-Leibler Stochastic Control. - Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2014)

Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach. - Yunpeng Pan; Evangelos A. Theodorou; Michail Kontitsis (CoRR, 2014)

Data-driven differential dynamic programming using Gaussian processes. - Yunpeng Pan; Evangelos A. Theodorou (ACC, 2015)

Game Theoretic continuous time Differential Dynamic Programming. - Wei Sun 032; Evangelos A. Theodorou; Panagiotis Tsiotras (ACC, 2015)

Sample Efficient Path Integral Control under Uncertainty. - Yunpeng Pan; Evangelos A. Theodorou; Michail Kontitsis (NIPS, 2015)

Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach. - Yunpeng Pan; Evangelos A. Theodorou; Kaivalya Bakshi (Robotics: Science and Systems, 2015)

Sample Efficient Path Integral Control under Uncertainty. - Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2015)

Model Based Reinforcement Learning with Final Time Horizon Optimization. - Wei Sun 032; Evangelos A. Theodorou; Panagiotis Tsiotras (CoRR, 2015)

Model Predictive Path Integral Control using Covariance Variable Importance Sampling. - Grady Williams; Andrew Aldrich; Evangelos A. Theodorou (CoRR, 2015)

Nonlinear Stochastic Control and Information Theoretic Dualities: Connections, Interdependencies and Thermodynamic Interpretations. - Evangelos A. Theodorou (Entropy, 2015)

Stochastic Optimal Control using polynomial chaos variational integrators. - George I. Boutselis; Gerardo De La Torre; Evangelos A. Theodorou (ACC, 2016)

Learning optimal control via forward and backward stochastic differential equations. - Ioannis Exarchos; Evangelos A. Theodorou (ACC, 2016)

Nonlinear-nonquadratic optimal and inverse optimal control for stochastic dynamical systems. - Tanmay Rajpurohit; Wassim M. Haddad 001; Evangelos A. Theodorou (ACC, 2016)

Infinite dimensional control of doubly stochastic Jump Diffusions. - Kaivalya Bakshi; Evangelos A. Theodorou (CDC, 2016)

Spectral variational integrators for trajectory optimization under parametric uncertainties and stochastic disturbances. - George I. Boutselis; Evangelos A. Theodorou (CDC, 2016)

Game-theoretic and risk-sensitive stochastic optimal control via forward and backward stochastic differential equations. - Ioannis Exarchos; Evangelos A. Theodorou; Panagiotis Tsiotras (CDC, 2016)

Differential Dynamic Programming for time-delayed systems. - David D. Fan; Evangelos A. Theodorou (CDC, 2016)

Stochastic Game Theoretic trajectory optimization in continuous time. - Wei Sun 032; Evangelos A. Theodorou; Panagiotis Tsiotras (CDC, 2016)

Cross-entropy optimization for neuromodulation. - Harleen K. Brar; Yunpeng Pan; Babak Mahmoudi; Evangelos A. Theodorou (EMBC, 2016)

Aggressive driving with model predictive path integral control. - Grady Williams; Paul Drews; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (ICRA, 2016)

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. - Yunpeng Pan; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2016)

Steering Opinion Dynamics in Information Diffusion Networks. - Yichen Wang 001; Evangelos A. Theodorou; Apurv Verma; Le Song (CoRR, 2016)

Stochastic control of systems with control multiplicative noise using second order FBSDEs. - Kaivalya S. Bakshi; David D. Fan; Evangelos A. Theodorou (ACC, 2017)

Belief space stochastic control under unknown dynamics. - Yunpeng Pan; Kamil Saigol; Evangelos A. Theodorou (ACC, 2017)

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (CoRL, 2017)

Evolving cost functions for model predictive control of multi-agent UAV combat swarms. - David D. Fan; Evangelos A. Theodorou; John Reeder (GECCO (Companion), 2017)

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. - Yunpeng Pan; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (ICML, 2017)

Variational Policy for Guiding Point Processes. - Yichen Wang 001; Grady Williams; Evangelos A. Theodorou; Le Song (ICML, 2017)

Information theoretic MPC for model-based reinforcement learning. - Grady Williams; Nolan Wagener; Brian Goldfain; Paul Drews; James M. Rehg; Byron Boots; Evangelos A. Theodorou (ICRA, 2017)

Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics. - Manan Gandhi; Kamil Saigol; Yunpeng Pan; Evangelos A. Theodorou (SSCI, 2017)

Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (CoRR, 2017)

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions. - Yichen Wang 001; Grady Williams; Evangelos A. Theodorou; Le Song (CoRR, 2017)

Autonomous Racing with AutoRally Vehicles and Differential Games. - Grady Williams; Brian Goldfain; Paul Drews; James M. Rehg; Evangelos A. Theodorou (CoRR, 2017)

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2017)

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. - Yichen Wang 001; Evangelos A. Theodorou; Apurv Verma; Le Song (AISTATS, 2018)

A Fixed-Architecture Framework for Stochastic Nonlinear Controller Synthesis. - Ethan N. Evans; Wassim M. Haddad 001; Evangelos A. Theodorou (ACC, 2018)

Path Integral Control on Lie Groups. - George I. Boutselis; Evangelos A. Theodorou (CDC, 2018)

Linearly Solvable Stochastic Optimal Control for Infinite-Dimensional Systems. - Evangelos A. Theodorou; George I. Boutselis; Kaivalya Bakshi (CDC, 2018)

Seizure Reduction using Model Predictive Control. - Harleen K. Brar; Ioannis Exarchos; Yunpeng Pan; Evangelos A. Theodorou; Babak Mahmoudi (EMBC, 2018)

Safe Learning of Quadrotor Dynamics Using Barrier Certificates. - Li Wang 050; Evangelos A. Theodorou; Magnus Egerstedt (ICRA, 2018)

Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. - Grady Williams; Brian Goldfain; Paul Drews; James M. Rehg; Evangelos A. Theodorou (ICRA, 2018)

Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems. - Munzir Zafar; Areeb Mehmood; Mouhyemen Khan; Shimin Zhang; Muhammad Ali Murtaza; Victor Aladele; Evangelos A. Theodorou; Seth Hutchinson 001; Byron Boots (ISER, 2018)

Agile Autonomous Driving using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Robotics: Science and Systems, 2018)

Robust Sampling Based Model Predictive Control with Sparse Objective Information. - Grady Williams; Brian Goldfain; Paul Drews; Kamil Saigol; James M. Rehg; Evangelos A. Theodorou (Robotics: Science and Systems, 2018)

Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms. - David D. Fan; Evangelos A. Theodorou; John Reeder (SSCI, 2018)

Stochastic optimal control via forward and backward stochastic differential equations and importance sampling. - Ioannis Exarchos; Evangelos A. Theodorou (Autom., 2018)

MPC-Inspired Neural Network Policies for Sequential Decision Making. - Marcus Pereira; David D. Fan; Gabriel Nakajima An; Evangelos A. Theodorou (CoRR, 2018)

A mean-field game model for homogeneous flocking. - Piyush Grover; Kaivalya Bakshi; Evangelos A. Theodorou (CoRR, 2018)

Safe end-to-end imitation learning for model predictive control. - Keuntaek Lee; Kamil Saigol; Evangelos A. Theodorou (CoRR, 2018)

Model-Based Imitation Learning with Accelerated Convergence. - Ching-An Cheng; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2018)

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. - Manan Gandhi; Keuntaek Lee; Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2018)

Stochastic L1-optimal control via forward and backward sampling. - Ioannis Exarchos; Evangelos A. Theodorou; Panagiotis Tsiotras (Syst. Control. Lett., 2018)

Efficient Reinforcement Learning via Probabilistic Trajectory Optimization. - Yunpeng Pan; George I. Boutselis; Evangelos A. Theodorou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. - Grady Williams; Paul Drews; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (IEEE Trans. Robotics, 2018)

Accelerating Imitation Learning with Predictive Models. - Ching-An Cheng; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (AISTATS, 2019)

Information Theoretic Model Predictive Control on Jump Diffusion Processes. - Ziyi Wang 001; Grady Williams; Evangelos A. Theodorou (ACC, 2019)

Deep Forward-Backward SDEs for Min-max Control. - Ziyi Wang 001; Keuntaek Lee; Marcus A. Pereira; Ioannis Exarchos; Evangelos A. Theodorou (CDC, 2019)

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems. - Ethan N. Evans; Marcus A. Pereira; George I. Boutselis; Evangelos A. Theodorou (CoRL, 2019)

Perceptual Attention-based Predictive Control. - Keuntaek Lee; Gabriel Nakajima An; Viacheslav Zakharov; Evangelos A. Theodorou (CoRL, 2019)

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. - Grady R. Williams; Brian Goldfain; Keuntaek Lee; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (CoRL, 2019)

The Science of Autonomy: A Holistic View at the Intersection of Learning, Control and Physics. - Evangelos A. Theodorou (ICINCO (1), 2019)

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. - Keuntaek Lee; Ziyi Wang 001; Bogdan I. Vlahov; Harleen K. Brar; Evangelos A. Theodorou (ICMLA, 2019)

Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning. - Keuntaek Lee; Kamil Saigol; Evangelos A. Theodorou (ICRA, 2019)

Hierarchical optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids. - Munzir Zafar; Seth Hutchinson 001; Evangelos A. Theodorou (ICRA, 2019)

Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments. - David D. Fan; Rohan Thakker; Tara Bartlett; Meriem Ben Miled; Leon Kim; Evangelos A. Theodorou; Ali-akbar Agha-mohammadi (IROS, 2019)

Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs. - Ziyi Wang 001; Marcus Pereira; Evangelos A. Theodorou (Robotics: Science and Systems, 2019)

Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma. - Marcus Pereira; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (CoRR, 2019)

Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. - Grady Williams; Brian Goldfain; James M. Rehg; Evangelos A. Theodorou (CoRR, 2019)

Deep 2FBSDEs for Systems with Control Multiplicative Noise. - Ziyi Wang 001; Marcus A. Pereira; Evangelos A. Theodorou (CoRR, 2019)

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective. - Guan-Horng Liu; Evangelos A. Theodorou (CoRR, 2019)

Stochastic Differential Games: A Sampling Approach via FBSDEs. - Ioannis Exarchos; Evangelos A. Theodorou; Panagiotis Tsiotras (Dyn. Games Appl., 2019)

Vision-Based High-Speed Driving With a Deep Dynamic Observer. - Paul Drews; Grady Williams; Brian Goldfain; Evangelos A. Theodorou; James M. Rehg (IEEE Robotics Autom. Lett., 2019)

Numerical Trajectory Optimization for Stochastic Mechanical Systems. - George I. Boutselis; Yunpeng Pan; Evangelos A. Theodorou (SIAM J. Sci. Comput., 2019)

On Mean Field Games for Agents With Langevin Dynamics. - Kaivalya Bakshi; Piyush Grover; Evangelos A. Theodorou (IEEE Trans. Control. Netw. Syst., 2019)

Nonlinear Covariance Control via Differential Dynamic Programming. - Zeji Yi; Zhefeng Cao; Evangelos A. Theodorou; Yongxin Chen (ACC, 2020)

Stabilizing Optimal Density Control of Nonlinear Agents with Multiplicative Noise. - Kaivalya Bakshi; Evangelos A. Theodorou; Piyush Grover (CDC, 2020)

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. - Marcus Pereira; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (CoRL, 2020)

Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems. - Emily A. Reed; Marcus A. Pereira; Francisco J. Valero Cuevas; Evangelos A. Theodorou (EMBC, 2020)

Constrained Sampling-based Trajectory Optimization using Stochastic Approximation. - George I. Boutselis; Ziyi Wang 001; Evangelos A. Theodorou (ICRA, 2020)

Bayesian Learning-Based Adaptive Control for Safety Critical Systems. - David D. Fan; Jennifer Nguyen; Rohan Thakker; Nikhilesh Alatur; Ali-akbar Agha-mohammadi; Evangelos A. Theodorou (ICRA, 2020)

ℒ1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors. - Jintasit Pravitra; Kasey A. Ackerman; Chengyu Cao; Naira Hovakimyan; Evangelos A. Theodorou (IROS, 2020)

L1-GP: L1 Adaptive Control with Bayesian Learning. - Aditya Gahlawat; Pan Zhao 003; Andrew Patterson; Naira Hovakimyan; Evangelos A. Theodorou (L4DC, 2020)

Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory. - Marcus Pereira; Ziyi Wang 001; Tianrong Chen; Emily A. Reed; Evangelos A. Theodorou (L4DC, 2020)

Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design. - Ethan N. Evans; Andrew P. Kendall; George I. Boutselis; Evangelos A. Theodorou (Robotics: Science and Systems, 2020)

Deep Learning Tubes for Tube MPC. - David D. Fan; Ali Agha; Evangelos A. Theodorou (Robotics: Science and Systems, 2020)

Deep Learning Tubes for Tube MPC. - David D. Fan; Ali-akbar Agha-mohammadi; Evangelos A. Theodorou (CoRR, 2020)

Differential Dynamic Programming Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2020)

High-Relative Degree Stochastic Control Lyapunov and Barrier Functions. - Meenakshi Sarkar; Debasish Ghose; Evangelos A. Theodorou (CoRR, 2020)

$ mathcal{L}_1$-$ mathcal{GP}$: $ mathcal{L}_1$ Adaptive Control with Bayesian Learning. - Aditya Gahlawat; Pan Zhao 003; Andrew Patterson; Naira Hovakimyan; Evangelos A. Theodorou (CoRR, 2020)

Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control. - Ioannis Exarchos; Marcus A. Pereira; Ziyi Wang 001; Evangelos A. Theodorou (CoRR, 2020)

Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control. - Kelsey P. Hawkins; Ali Pakniyat; Evangelos A. Theodorou; Panagiotis Tsiotras (CoRR, 2020)

A Differential Game Theoretic Neural Optimizer for Training Residual Networks. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2020)

Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search. - Ziyi Wang 001; Oswin So; Keuntaek Lee; Camilo A. Duarte; Evangelos A. Theodorou (CoRR, 2020)

RL1-GP: Safe Simultaneous Learning and Control. - Aditya Gahlawat; Arun Lakshmanan; Lin Song 001; Andrew Patterson; Zhuohuan Wu; Naira Hovakimyan; Evangelos A. Theodorou (CoRR, 2020)

Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games. - Tianrong Chen; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (CoRR, 2020)

Imitation learning for agile autonomous driving. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Int. J. Robotics Res., 2020)

Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC. - Keuntaek Lee; Jason Gibson; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2020)

Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. - Lin Song 001; Neng Wan; Aditya Gahlawat; Naira Hovakimyan; Evangelos A. Theodorou (ACC, 2021)

Cooperative Path Integral Control for Stochastic Multi-Agent Systems. - Neng Wan; Aditya Gahlawat; Naira Hovakimyan; Evangelos A. Theodorou; Petros G. Voulgaris (ACC, 2021)

HJB Based Optimal Safe Control using Control Barrier Functions. - Hassan Almubarak; Evangelos A. Theodorou; Nader Sadegh (CDC, 2021)

Receding Horizon Differential Dynamic Programming Under Parametric Uncertainty. - Yuichiro Aoyama; Augustinos D. Saravanos; Evangelos A. Theodorou (CDC, 2021)

Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control. - Kelsey P. Hawkins; Ali Pakniyat; Evangelos A. Theodorou; Panagiotis Tsiotras (CDC, 2021)

NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control. - Ioannis Exarchos; Marcus Aloysius Pereira; Ziyi Wang 001; Evangelos A. Theodorou (ICLR, 2021)

DDPNOpt: Differential Dynamic Programming Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (ICLR, 2021)

Large-Scale Multi-Agent Deep FBSDEs. - Tianrong Chen; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (ICML, 2021)

Dynamic Game Theoretic Neural Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (ICML, 2021)

Constrained Differential Dynamic Programming Revisited. - Yuichiro Aoyama; George I. Boutselis; Akash Patel; Evangelos A. Theodorou (ICRA, 2021)

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. - Keuntaek Lee; Bogdan I. Vlahov; Jason Gibson; James M. Rehg; Evangelos A. Theodorou (ICRA, 2021)

Contraction ℒ1-Adaptive Control using Gaussian Processes. - Aditya Gahlawat; Arun Lakshmanan; Lin Song 001; Andrew Patterson; Zhuohuan Wu; Naira Hovakimyan; Evangelos A. Theodorou (L4DC, 2021)

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search. - Ziyi Wang 001; Oswin So; Keuntaek Lee; Evangelos A. Theodorou (L4DC, 2021)

Second-Order Neural ODE Optimizer. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (NeurIPS, 2021)

Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems. - Augustinos D. Saravanos; Alexandros Tsolovikos; Efstathios Bakolas; Evangelos A. Theodorou (Robotics: Science and Systems, 2021)

Variational Inference MPC using Tsallis Divergence. - Ziyi Wang 001; Oswin So; Jason Gibson; Bogdan I. Vlahov; Manan Gandhi; Guan-Horng Liu; Evangelos A. Theodorou (Robotics: Science and Systems, 2021)

Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. - Neng Wan; Aditya Gahlawat; Naira Hovakimyan; Evangelos A. Theodorou; Petros G. Voulgaris (CoRR, 2021)

Deep L1 Stochastic Optimal Control Policies for Planetary Soft-landing. - Marcus A. Pereira; Camilo A. Duarte; Ioannis Exarchos; Evangelos A. Theodorou (CoRR, 2021)

Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. - Lin Song 001; Neng Wan; Aditya Gahlawat; Chuyuan Tao; Naira Hovakimyan; Evangelos A. Theodorou (CoRR, 2021)

Improving Model Predictive Path Integral using Covariance Steering. - Ji Yin; Zhiyuan Zhang 007; Evangelos A. Theodorou; Panagiotis Tsiotras (CoRR, 2021)

Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems. - George I. Boutselis; Ethan N. Evans; Marcus A. Pereira; Evangelos A. Theodorou (Entropy, 2021)

Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees. - Manan Gandhi; Bogdan I. Vlahov; Jason Gibson; Grady Williams; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2021)

Schrödinger Approach to Optimal Control of Large-Size Populations. - Kaivalya Bakshi; David D. Fan; Evangelos A. Theodorou (IEEE Trans. Autom. Control., 2021)

Discrete-Time Differential Dynamic Programming on Lie Groups: Derivation, Convergence Analysis, and Numerical Results. - George I. Boutselis; Evangelos A. Theodorou (IEEE Trans. Autom. Control., 2021)

Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization. - Hassan Almubarak; Evangelos A. Theodorou; Nader Sadegh (ACC, 2022)

Constrained Covariance Steering Based Tube-MPPI. - Isin M. Balci; Efstathios Bakolas; Bogdan I. Vlahov; Evangelos A. Theodorou (ACC, 2022)

Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control. - Tianrong Chen; Ziyi Wang 001; Evangelos A. Theodorou (CDC, 2022)

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. - Tianrong Chen; Guan-Horng Liu; Evangelos A. Theodorou (ICLR, 2022)

Maximum Entropy Differential Dynamic Programming. - Oswin So; Ziyi Wang 001; Evangelos A. Theodorou (ICRA, 2022)

Optimal-Horizon Model Predictive Control with Differential Dynamic Programming. - Kyle Stachowicz; Evangelos A. Theodorou (ICRA, 2022)

Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering. - Ji Yin; Zhiyuan Zhang 007; Evangelos A. Theodorou; Panagiotis Tsiotras (ICRA, 2022)

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

Deep Generalized Schrödinger Bridge. - Guan-Horng Liu; Tianrong Chen; Oswin So; Evangelos A. Theodorou (NeurIPS, 2022)

Parameterized Differential Dynamic Programming. - Alex Oshin; Matthew D. Houghton; Michael J. Acheson; Irene M. Gregory; Evangelos A. Theodorou (Robotics: Science and Systems, 2022)

Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. - Marcus A. Pereira; Augustinos D. Saravanos; Oswin So; Evangelos A. Theodorou (Robotics: Science and Systems, 2022)

Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics. - Ethan N. Evans; Andrew P. Kendall; Evangelos A. Theodorou (Auton. Robots, 2022)

Multimodal Maximum Entropy Dynamic Games. - Oswin So; Kyle Stachowicz; Evangelos A. Theodorou (CoRR, 2022)

Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI. - Manan Gandhi; Hassan Almubarak; Yuichiro Aoyama; Evangelos A. Theodorou (CoRR, 2022)

Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control. - Augustinos D. Saravanos; Yuichiro Aoyama; Hongchang Zhu; Evangelos A. Theodorou (CoRR, 2022)

Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian. - Oswin So; Gongjie Li; Evangelos A. Theodorou; Molei Tao (CoRR, 2022)

Gaussian Process Barrier States for Safe Trajectory Optimization and Control. - Hassan Almubarak; Manan Gandhi; Yuichiro Aoyama; Nader Sadegh; Evangelos A. Theodorou (CoRR, 2022)

Safety Embedded Control of Nonlinear Systems via Barrier States. - Hassan Almubarak; Nader Sadegh; Evangelos A. Theodorou (IEEE Control. Syst. Lett., 2022)

Safety Embedded Differential Dynamic Programming Using Discrete Barrier States. - Hassan Almubarak; Kyle Stachowicz; Nader Sadegh; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2022)

Learning Risk-Aware Costmaps for Traversability in Challenging Environments. - David D. Fan; Ali-akbar Agha-mohammadi; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 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)

Improved Exploration for Safety-Embedded Differential Dynamic Programming Using Tolerant Barrier States. - Joshua E. Kuperman; Hassan Almubarak; Augustinos D. Saravanos; Evangelos A. Theodorou (ICAR, 2023)

I2SB: Image-to-Image Schrödinger Bridge. - Guan-Horng Liu; Arash Vahdat; De-An Huang; Evangelos A. Theodorou; Weili Nie; Anima Anandkumar (ICML, 2023)

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments. - Jason Gibson; Bogdan I. Vlahov; David D. Fan; Patrick Spieler; Daniel Pastor; Ali-akbar Agha-mohammadi; Evangelos A. Theodorou (ICRA, 2023)

MPOGames: Efficient Multimodal Partially Observable Dynamic Games. - Oswin So; Paul Drews; Thomas Balch; Velin Dimitrov; Guy Rosman; Evangelos A. Theodorou (ICRA, 2023)

Deep Momentum Multi-Marginal Schrödinger Bridge. - Tianrong Chen; Guan-Horng Liu; Molei Tao; Evangelos A. Theodorou (NeurIPS, 2023)

Mirror Diffusion Models for Constrained and Watermarked Generation. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou; Molei Tao (NeurIPS, 2023)

Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems. - Augustinos D. Saravanos; Yihui Li; Evangelos A. Theodorou (Robotics: Science and Systems, 2023)

Safe Importance Sampling in Model Predictive Path Integral Control. - Manan Gandhi; Hassan Almubarak; Evangelos A. Theodorou (CoRR, 2023)

Differentiable Robust Model Predictive Control. - Alex Oshin; Evangelos A. Theodorou (CoRR, 2023)

Barrier States Theory for Safety-Critical Multi-Objective Control. - Hassan Almubarak; Nader Sadegh; Evangelos A. Theodorou (CoRR, 2023)

Generative Modeling with Phase Stochastic Bridges. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Josh M. Susskind; Shuangfei Zhai (CoRR, 2023)

Augmented Bridge Matching. - Valentin De Bortoli; Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou; Weilie Nie (CoRR, 2023)

Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. - Lin Song 001; Neng Wan; Aditya Gahlawat; Chuyuan Tao; Naira Hovakimyan; Evangelos A. Theodorou (IEEE Trans. Control. Netw. Syst., 2023)

Distributed Differential Dynamic Programming Architectures for Large-Scale Multiagent Control. - Augustinos D. Saravanos; Yuichiro Aoyama; Hongchang Zhu; Evangelos A. Theodorou (IEEE Trans. Robotics, 2023)

Generalized Maximum Entropy Differential Dynamic Programming. - Yuichiro Aoyama; Evangelos A. Theodorou (CDC, 2024)

Generative Modeling with Phase Stochastic Bridge. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2024)

Generalized Schrödinger Bridge Matching. - Guan-Horng Liu; Yaron Lipman; Maximilian Nickel; Brian Karrer; Evangelos A. Theodorou; Ricky T. Q. Chen (ICLR, 2024)

A robust differential Neural ODE Optimizer. - Panagiotis Theodoropoulos; Guan-Horng Liu; Tianrong Chen; Augustinos D. Saravanos; Evangelos A. Theodorou (ICLR, 2024)

Optimal Control of Granular Material. - Yuichiro Aoyama; Amin Haeri; Evangelos A. Theodorou (ICRA, 2024)

Distributed Model Predictive Covariance Steering. - Augustinos D. Saravanos; Isin M. Balci; Efstathios Bakolas; Evangelos A. Theodorou (IROS, 2024)

Differentiable Robust Model Predictive Control. - Alex Oshin; Hassan Almubarak; Evangelos A. Theodorou (Robotics: Science and Systems, 2024)

Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective. - Arshiya Taj Abdul; Augustinos D. Saravanos; Evangelos A. Theodorou (CoRR, 2024)

Quantum State Generation with Structure-Preserving Diffusion Model. - Yuchen Zhu; Tianrong Chen; Evangelos A. Theodorou; Xie Chen 009; Molei Tao (CoRR, 2024)

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions. - Chenru Duan; Guan-Horng Liu; Yuanqi Du; Tianrong Chen; Qiyuan Zhao; Haojun Jia; Carla P. Gomes; Evangelos A. Theodorou; Heather J. Kulik (CoRR, 2024)

MPPI-Generic: A CUDA Library for Stochastic Optimization. - Bogdan I. Vlahov; Jason Gibson; Manan Gandhi; Evangelos A. Theodorou (CoRR, 2024)

Operator Splitting Covariance Steering for Safe Stochastic Nonlinear Control. - Akash Ratheesh; Vincent Pacelli; Augustinos D. Saravanos; Evangelos A. Theodorou (CoRR, 2024)

Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving. - Jason Gibson; Anoushka Alavilli; Erica Tevere; Evangelos A. Theodorou; Patrick Spieler (CoRR, 2024)

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games. - Guan-Horng Liu; Tianrong Chen; Evangelos A. Theodorou (CoRR, 2024)

Social System Inference From Noisy Observations. - Yanbing Mao; Naira Hovakimyan; Tarek F. Abdelzaher; Evangelos A. Theodorou (IEEE Trans. Comput. Soc. Syst., 2024)

Low Frequency Sampling in Model Predictive Path Integral Control. - Bogdan I. Vlahov; Jason Gibson; David D. Fan; Patrick Spieler; Ali-akbar Agha-mohammadi; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2024)

Solving Feynman-Kac Forward-Backward SDEs Using McKean-Markov Branched Sampling. - Kelsey P. Hawkins; Ali Pakniyat; Evangelos A. Theodorou; Panagiotis Tsiotras (IEEE Trans. Autom. Control., 2024)

Scalable Robust Optimization for Safe Multi-Agent Control Under Unknown Deterministic Uncertainty. - Arshiya Taj Abdul; Augustinos D. Saravanos; Evangelos A. Theodorou (ACC, 2025)

A Tutorial on Autonomy and Advanced Air Mobility: Aviation Paradigm Change. - Irene M. Gregory; Sheng Cheng 001; Evangelos A. Theodorou; Naira Hovakimyan (ACC, 2025)

Deep Distributed Optimization for Large-Scale Quadratic Programming. - Augustinos D. Saravanos; Hunter Kuperman; Alex Oshin; Arshiya Taj Abdul; Vincent Pacelli; Evangelos A. Theodorou (ICLR, 2025)

Feedback Schrödinger Bridge Matching. - Panagiotis Theodoropoulos; Nikolaos Komianos; Vincent Pacelli; Guan-Horng Liu; Evangelos A. Theodorou (ICLR, 2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. - Yuchen Zhu; Tianrong Chen; Lingkai Kong; Evangelos A. Theodorou; Molei Tao (ICLR, 2025)

Optimal transport for generating transition states in chemical reactions. - Chenru Duan; Guan-Horng Liu; Yuanqi Du; Tianrong Chen; Qiyuan Zhao; Haojun Jia; Carla P. Gomes; Evangelos A. Theodorou; Heather J. Kulik (Nat. Mac. Intell., 2025)

Nonlinear Robust Optimization for Planning and Control. - Arshiya Taj Abdul; Augustinos D. Saravanos; Evangelos A. Theodorou (CoRR, 2025)

Nearly Optimal Nonlinear Safe Control with BaS-SDRE. - Hassan Almubarak; Maitham F. AL-Sunni; Justin T. Dubbin; Nader Sadegh; John M. Dolan; Evangelos A. Theodorou (CoRR, 2025)

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving. - Jacob Levy; Jason Gibson; Bogdan I. Vlahov; Erica Tevere; Evangelos A. Theodorou; David Fridovich-Keil; Patrick Spieler (CoRR, 2025)

Momentum Multi-Marginal Schrödinger Bridge Matching. - Panagiotis Theodoropoulos; Augustinos D. Saravanos; Evangelos A. Theodorou; Guan-Horng Liu (CoRR, 2025)