E. Theodorou

发表

Sample Efficient Path Integral Control under Uncertainty

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2015, NIPS.

A Generalized Path Integral Control Approach to Reinforcement Learning

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, J. Mach. Learn. Res..

Stochastic Differential Dynamic Programming

Yuval Tassa, Evangelos Theodorou, Emo Todorov, 2010, Proceedings of the 2010 American Control Conference.

Tendon-Driven Variable Impedance Control Using Reinforcement Learning

Evangelos Theodorou, Emanuel Todorov, Yoky Matsuoka, 2012, Robotics: Science and Systems.

Inverse Reinforcement Learning with PI 2

Evangelos A. Theodorou, S. Schaal, E. Theodorou, 2010 .

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments

Stefan Schaal, Evangelos Theodorou, Michael N. Mistry, 2012, IEEE Transactions on Autonomous Mental Development.

Learning Policy Improvements with Path Integrals

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, AISTATS.

Reinforcement learning of motor skills in high dimensions: A path integral approach

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, 2010 IEEE International Conference on Robotics and Automation.

Skill learning and task outcome prediction for manipulation

Stefan Schaal, Evangelos Theodorou, Sachin Chitta, 2011, 2011 IEEE International Conference on Robotics and Automation.

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

Stefan Schaal, Evangelos Theodorou, Freek Stulp, 2012, IEEE Transactions on Robotics.

STOMP: Stochastic trajectory optimization for motion planning

Stefan Schaal, Evangelos Theodorou, Sachin Chitta, 2011, 2011 IEEE International Conference on Robotics and Automation.

Tendon-driven control of biomechanical and robotic systems: A path integral reinforcement learning approach

Evangelos Theodorou, Emanuel Todorov, Yoky Matsuoka, 2012, 2012 IEEE International Conference on Robotics and Automation.

Free energy based policy gradients

Evangelos Theodorou, Emanuel Todorov, Jiri Najemnik, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

The δ - sensitivity and its application to stochastic optimal control of nonlinear diffusions

Evangelos Theodorou, Emanuel Todorov, Evangelos A. Theodorou, 2013, 2013 American Control Conference.

Convexity of optimal linear controller design

Evangelos Theodorou, Emanuel Todorov, Krishnamurthy Dvijotham, 2013, 52nd IEEE Conference on Decision and Control.

Reduced dimensionality control for the ACT hand

Evangelos Theodorou, Emanuel Todorov, Yoky Matsuoka, 2012, 2012 IEEE International Conference on Robotics and Automation.

Learning to grasp under uncertainty

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2011, 2011 IEEE International Conference on Robotics and Automation.

From dynamic movement primitives to associative skill memories

Stefan Schaal, Franziska Meier, Evangelos Theodorou, 2013, Robotics Auton. Syst..

Path integral reinforcement learning

Stefan Schaal, Jonas Buchli, Evangelos A. Theodorou, 2011 .

An iterative path integral stochastic optimal control approach for learning robotic tasks

Evangelos A. Theodorou, S. Schaal, E. Theodorou, 2011 .

Learning variable impedance control

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2011, Int. J. Robotics Res..

Probabilistic Differential Dynamic Programming

Yunpeng Pan, Evangelos Theodorou, Evangelos A. Theodorou, 2014, NIPS.

Variable Impedance Control - A Reinforcement Learning Approach

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, Robotics: Science and Systems.

Model Predictive Path Integral Control using Covariance Variable Importance Sampling pdf

Evangelos Theodorou, Grady Williams, Andrew Aldrich, 2015, ArXiv.

Reinforcement Learning and Synergistic Control of the ACT Hand

Y. Matsuoka, E. Rombokas, M. Malhotra, 2013, IEEE/ASME Transactions on Mechatronics.

Relative entropy and free energy dualities: Connections to Path Integral and KL control

Evangelos Theodorou, Emanuel Todorov, Evangelos A. Theodorou, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Aggressive driving with model predictive path integral control

James M. Rehg, Evangelos Theodorou, Grady Williams, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Stochastic trajectory optimization for mechanical systems with parametric uncertainties

George I. Boutselis, Evangelos A. Theodorou, Yunpeng Pan, 2017, 1705.05506.

Optimal control of reaching includes kinematic constraints.

Mitsuo Kawato, Evangelos Theodorou, Stefan Schaal, 2013, Journal of neurophysiology.

Path integral-based stochastic optimal control for rigid body dynamics

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Reinforcement learning of full-body humanoid motor skills

Stefan Schaal, Evangelos Theodorou, Jonas Buchli, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

A Kalman filter for robust outlier detection

Stefan Schaal, Evangelos Theodorou, Jo-Anne Ting, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective pdf

Evangelos A. Theodorou, Guan-Horng Liu, Evangelos A. Theodorou, 2019, ArXiv.

Path integral control and bounded rationality

Stefan Schaal, Daniel A. Braun, Evangelos Theodorou, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Stochastic optimal control for nonlinear markov jump diffusion processes

Evangelos Theodorou, Emanuel Todorov, Evangelos A. Theodorou, 2012, 2012 American Control Conference (ACC).

Learning an Outlier-Robust Kalman Filter

Stefan Schaal, Evangelos Theodorou, Jo-Anne Ting, 2007, ECML.

Nonparametric Kullback-Leibler Stochastic Control pdf

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2014, ArXiv.

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop

Le Song, Yichen Wang, Evangelos Theodorou, 2016, AISTATS.

Seizure Reduction using Model Predictive Control

Yunpeng Pan, Evangelos Theodorou, Babak Mahmoudi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Steering Opinion Dynamics in Information Diffusion Networks pdf

Le Song, Yichen Wang, Evangelos Theodorou, 2016, ArXiv.

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning pdf

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, ArXiv.

A Fixed-Architecture Framework for Stochastic Nonlinear Controller Synthesis

Evangelos Theodorou, Wassim M. Haddad, Ethan N. Evans, 2018, 2018 Annual American Control Conference (ACC).

Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach pdf

Yunpeng Pan, Evangelos Theodorou, Michail Kontitsis, 2014, ArXiv.

Nonlinear-nonquadratic optimal and inverse optimal control for stochastic dynamical systems

Evangelos Theodorou, Wassim M. Haddad, Tanmay Rajpurohit, 2016, 2016 American Control Conference (ACC).

Deep Learning Tubes for Tube MPC pdf

Ali-akbar Agha-mohammadi, David D. Fan, Evangelos A. Theodorou, 2020, Robotics: Science and Systems.

Information Theoretic MPC Using Neural Network Dynamics

James M. Rehg, Evangelos A. Theodorou, E. Theodorou, 2016 .

Schrödinger Approach to Optimal Control of Large-Size Populations

David D. Fan, E. Theodorou, Kaivalya Bakshi, 2018, IEEE Transactions on Automatic Control.

Number : TR-CLMC-20071 Learning an Outlier-Robust Kalman Filter

Stefan Schaal, Evangelos Theodorou, Jo-Anne Ting, 2007 .

Spatio-temporal physical process Reduced Order Models ( ROMs ) Standard RL in finite dimensions Variational RL in Hilbert Spaces

Ethan N. Evans, George I. Boutselis, Marcus A. Pereira, 2019 .

Learning Variable Impedance Control Learning Variable Impedance Control

Evangelos A. Theodorou, S. Schaal, E. Theodorou, 2011 .

Autonomous suspended load operations via trajectory optimization and variational integrators

Evangelos A. Theodorou, Eric N. Johnson, E. Theodorou, 2017 .

Min-Max Differential Dynamic Programming: Continuous and Discrete Time Formulations

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2018, Journal of Guidance, Control, and Dynamics.

Information theoretic MPC for model-based reinforcement learning

Nolan Wagener, Byron Boots, James M. Rehg, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Learning Deep Neural Network Control Policies for Agile Off-Road Autonomous Driving

Yunpeng Pan, E. Theodorou, Byron Boots, 2017 .

Contraction $\mathcal{L}_1$-Adaptive Control using Gaussian Processes

Evangelos A. Theodorou, E. Theodorou, N. Hovakimyan, 2020, 2009.03864.

Contraction L 1-Adaptive Control using Gaussian Processes

E. Theodorou, N. Hovakimyan, Andrew Patterson, 2021 .

From information theoretic dualities to Path Integral and Kullback Leibler control : Continuous and Discrete Time formulations

Evangelos A. Theodorou, E. Theodorou, Krishnamurthy Dvijotham, 2013 .

Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control

Evangelos A. Theodorou, E. Theodorou, T. Chen, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Information Theoretic views of Path Integral Control

E. Theodorou, E. Todorov, 2012 .

Socially Aware Motion Planning for a Flying Robot with Model Predictive Path Integral Control

E. Theodorou, R. Wang, N. Hovakimyan, 2019 .

Linear Feynman-Kac Linear PDEs & Non-linear SDEs Information Theoretic Control Free Energy & Relative Entropy Stochastic Optimal Control Stochastic Dynamic Programming

Ethan N. Evans, George I. Boutselis, Marcus A. Pereira, 2019 .

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Yunpeng Pan, E. Theodorou, Byron Boots, 2015 .

Social System Inference from Noisy Observations pdf

Naira Hovakimyan, Evangelos Theodorou, Tarek Abdelzaher, 2020, ArXiv.

constraintscontrol of reaching includes kinematic

Mitsuo Kawato, Luciano Fadiga, Charalambos Papaxanthis, 2015 .

Title: Optimal Control of Reaching Includes Kinematic Constraints Running Head: Optimal Control of Reaching Includes Kinematic Constraints

S. Schaal, E. Theodorou, M. Kawato, 2013 .

Reinforcement learning for optimal control of arm movements

Jan Peters, Stefan Schaal, Evangelos Theodorou, 2007 .

A Generalized Importance Sampling Method for Model Predictive Path Integral Control

E. Theodorou, Grady Williams, Andrew Aldrich, 2015 .

A Compliant Biomimetic Artificial Finger for Anthropomorphic Robotic Hands via 3 D Rapid Prototyping

E. Theodorou, E. Todorov, Vikash Kumar, 2012 .

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

E. Theodorou, T. Chen, Guan-Horng Liu, 2021, ICLR.

Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control

Augustinos D. Saravanos, E. Theodorou, Yuichiro Aoyama, 2022, 2207.13255.

Iterative path integral stochastic optimal control: Theory and applications to motor control

Evangelos A. Theodorou, E. Theodorou, 2011 .

Deep Generalized Schr\"odinger Bridge

Tianrong Chen, Evangelos A. Theodorou, E. Theodorou, 2022, 2209.09893.

L IKELIHOOD T RAINING OF S CHRÖDINGER B RIDGE USING F ORWARD -B ACKWARD SDE S T HEORY

E. Theodorou, Guan-Horng Liu, 2022 .

Distributed Differential Dynamic Programming Architectures for Large-Scale Multiagent Control

Evangelos A. Theodorou, Augustinos D. Saravanos, E. Theodorou, 2022, IEEE Transactions on Robotics.

Learning Risk-Aware Costmaps for Traversability in Challenging Environments

David D. Fan, Evangelos A. Theodorou, E. Theodorou, 2021, IEEE Robotics and Automation Letters.

Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian

E. Theodorou, Gongjie Li, Molei Tao, 2022, ArXiv.

Solving Feynman-Kac Forward Backward SDEs Using McKean-Markov Branched Sampling

Kelsey P. Hawkins, E. Theodorou, P. Tsiotras, 2022, 2210.10534.

Closed-loop machine-controlled CPR system optimises haemodynamics during prolonged CPR

Manan S. Gandhi, E. Theodorou, D. Yannopoulos, 2020, Resuscitation plus.

MPOGames: Efficient Multimodal Partially Observable Dynamic Games

Velin D. Dimitrov, E. Theodorou, G. Rosman, 2022, ArXiv.

Learning quantum-state feedback control with backpropagation-free stochastic optimization

Ethan N. Evans, Adam G. Frim, E. Theodorou, 2022, Physical Review A.

Leveraging Stochasticity for Open Loop and Model Predictive Control of Complex Fluid Systems

Ethan N. Evans, George I. Boutselis, Marcus A. Pereira, 2019, 1904.02274.

Variational Inference for Stochastic Control of Infinite Dimensional Systems

George I. Boutselis, Marcus A. Pereira, E. Theodorou, 2018, 1809.03035.

Distributed Model Predictive Covariance Steering

Isin M. Balci, Augustinos D. Saravanos, E. Theodorou, 2022, ArXiv.

Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics

Ethan N. Evans, Andrew P. Kendall, E. Theodorou, 2021, Autonomous Robots.

Optimizing inventory control through a data-driven and model-independent framework

Evangelos A. Theodorou, E. Theodorou, Evangelos Spiliotis, 2022, EURO J. Transp. Logist..

Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM

Marcus A. Pereira, Evangelos A. Theodorou, Augustinos D. Saravanos, 2022, Robotics: Science and Systems.

Sampling-Based Optimization for Multi-Agent Model Predictive Control

Evangelos A. Theodorou, Augustinos D. Saravanos, E. Theodorou, 2022, 2211.11878.

Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems pdf

Naira Hovakimyan, Aditya Gahlawat, Lin Song, 2020, 2021 American Control Conference (ACC).

Stochastic optimization for learning quantum state feedback control

Ethan N. Evans, Ziyi Wang, Michael R. DeWeese, 2021, 2111.09896.

Movement Segmentation and Recognition for Imitation Learning

Stefan Schaal, Franziska Meier, Evangelos Theodorou, 2012, AISTATS.

Movement segmentation using a primitive library

Stefan Schaal, Franziska Meier, Evangelos Theodorou, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep Generalized Schrödinger Bridge

Evangelos A. Theodorou, E. Theodorou, T. Chen, 2022, NeurIPS.

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

James M. Rehg, Evangelos A. Theodorou, Grady Williams, 2017, IEEE Transactions on Robotics.

Agile Autonomous Driving using End-to-End Deep Imitation Learning

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, Robotics: Science and Systems.

Stochastic Differential Games: A Sampling Approach via FBSDEs

E. Theodorou, P. Tsiotras, Ioannis Exarchos, 2018, Dynamic Games and Applications.

Safe Learning of Quadrotor Dynamics Using Barrier Certificates

Li Wang, Magnus Egerstedt, Evangelos Theodorou, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Evangelos A. Theodorou, E. Theodorou, T. Chen, 2021, ICLR.

Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning

James M. Rehg, Bogdan I. Vlahov, Evangelos A. Theodorou, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Imitation learning for agile autonomous driving

Byron Boots, Ching-An Cheng, Evangelos A. Theodorou, 2019, Int. J. Robotics Res..

Perceptual Attention-based Predictive Control pdf

Evangelos Theodorou, Keuntaek Lee, Gabriel Nakajima An, 2019, CoRL.

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies

Evangelos Theodorou, Ziyi Wang, Keuntaek Lee, 2018, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

MPC-Inspired Neural Network Policies for Sequential Decision Making pdf

Evangelos Theodorou, Gabriel Nakajima An, David D. Fan, 2018, ArXiv.

Variational Policy for Guiding Point Processes

Le Song, Yichen Wang, Evangelos Theodorou, 2017, ICML.

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions pdf

Le Song, Yichen Wang, Evangelos Theodorou, 2017, ArXiv.

Efficient Reinforcement Learning via Probabilistic Trajectory Optimization

Yunpeng Pan, Evangelos A. Theodorou, George I. Boutselis, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An Information-Theoretic Active Localization Approach during Relative Circumnavigation in Orbit

Panagiotis Tsiotras, Evangelos A. Theodorou, Michail Kontitsis, 2016 .

Learning motion primitive goals for robust manipulation

Stefan Schaal, Ludovic Righetti, Evangelos Theodorou, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Vision-Based High-Speed Driving With a Deep Dynamic Observer

James M. Rehg, Evangelos A. Theodorou, Grady Williams, 2018, IEEE Robotics and Automation Letters.

Data-driven differential dynamic programming using Gaussian processes

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2015, 2015 American Control Conference (ACC).

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2015 .

Girsanov Based Direct Policy Gradient Methods

Evangelos A. Theodorou, E. Theodorou, E. Todorov, 2012 .

Discrete-Time Differential Dynamic Programming on Lie Groups: Derivation, Convergence Analysis, and Numerical Results

Evangelos Theodorou, George I. Boutselis, E. Theodorou, 2021, IEEE Transactions on Automatic Control.

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search

Evangelos Theodorou, Ziyi Wang, Keuntaek Lee, 2020, L4DC.

Second-Order Neural ODE Optimizer pdf

Evangelos A. Theodorou, Guan-Horng Liu, Tianrong Chen, 2021, NeurIPS.

Generalization of Safe Optimal Control Actions on Networked Multiagent Systems pdf

Naira Hovakimyan, Aditya Gahlawat, Chuyuan Tao, 2021, IEEE Transactions on Control of Network Systems.

$\mathcal{RL}_1$-$\mathcal{GP}$: Safe Simultaneous Learning and Control

Naira Hovakimyan, Evangelos Theodorou, Aditya Gahlawat, 2020 .

L1-GP: L1 Adaptive Control with Bayesian Learning

Evangelos A. Theodorou, E. Theodorou, N. Hovakimyan, 2020, L4DC.

$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning pdf

Naira Hovakimyan, Aditya Gahlawat, Andrew Patterson, 2020, ArXiv.

Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI

Manan S. Gandhi, E. Theodorou, Yuichiro Aoyama, 2022, ArXiv.

I$^2$SB: Image-to-Image Schr\"odinger Bridge

E. Theodorou, Anima Anandkumar, De-An Huang, 2023, 2302.05872.

Deep Momentum Multi-Marginal Schrödinger Bridge

Evangelos A. Theodorou, E. Theodorou, T. Chen, 2023, ArXiv.

Nonparametric infinite horizon Kullback-Leibler stochastic control

Yunpeng Pan, Evangelos Theodorou, Yunpeng Pan, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Stochastic L1-optimal control via forward and backward sampling

Evangelos Theodorou, Panagiotis Tsiotras, Ioannis Exarchos, 2018, Syst. Control. Lett..

Stochastic optimal control via forward and backward stochastic differential equations and importance sampling

Evangelos Theodorou, Ioannis Exarchos, Evangelos A. Theodorou, 2018, Autom..

I2SB: Image-to-Image Schrödinger Bridge

E. Theodorou, Anima Anandkumar, De-An Huang, 2023, ArXiv.

Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering

Evangelos A. Theodorou, E. Theodorou, P. Tsiotras, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Nonlinear Covariance Control via Differential Dynamic Programming

Yongxin Chen, Evangelos Theodorou, Zeji Yi, 2019, 2020 American Control Conference (ACC).

Safe Importance Sampling in Model Predictive Path Integral Control

Manan S. Gandhi, E. Theodorou, Hassan Almubarak, 2023, ArXiv.

ℒ1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors pdf

Kasey A. Ackerman, Naira Hovakimyan, Chengyu Cao, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robust Sampling Based Model Predictive Control with Sparse Objective Information

James M. Rehg, Evangelos Theodorou, Grady Williams, 2018, Robotics: Science and Systems.

Autonomous Racing with AutoRally Vehicles and Differential Games pdf

James M. Rehg, Evangelos Theodorou, Grady Williams, 2017, ArXiv.

Model Predictive Path Integral Control: From Theory to Parallel Computation

Evangelos A. Theodorou, Grady Williams, Andrew Aldrich, 2017 .

Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning pdf

David Isele, Evangelos A. Theodorou, Sangjae Bae, 2022, IEEE Robotics and Automation Letters.

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving

E. Theodorou, David Isele, Keuntaek Lee, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Safe end-to-end imitation learning for model predictive control pdf

Evangelos Theodorou, Keuntaek Lee, Kamil Saigol, 2018, ArXiv.

Information Theoretic Model Predictive Control on Jump Diffusion Processes

Evangelos A. Theodorou, Ziyi Wang, Grady Williams, 2018, 2019 American Control Conference (ACC).

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing pdf

Yunpeng Pan, Evangelos Theodorou, Manan Gandhi, 2018, ArXiv.

Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization

E. Theodorou, N. Sadegh, Hassan Almubarak, 2021, 2022 American Control Conference (ACC).

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs

Marcus A. Pereira, Evangelos A. Theodorou, E. Theodorou, 2020, CoRL.

I2SB: Image-to-Image Schrödinger Bridge

Evangelos A. Theodorou, E. Theodorou, Anima Anandkumar, 2023, ICML.

Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma pdf

Evangelos Theodorou, Ziyi Wang, Ioannis Exarchos, 2019, ArXiv.

Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics pdf

Ethan N. Evans, Andrew P. Kendall, Evangelos A. Theodorou, 2021, Auton. Robots.

Game Theoretic continuous time Differential Dynamic Programming

Wei Sun, Evangelos Theodorou, Panagiotis Tsiotras, 2015, 2015 American Control Conference (ACC).

Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles

James M. Rehg, Evangelos Theodorou, Grady Williams, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Spatio-Temporal Differential Dynamic Programming for Control of Fields

Ethan N. Evans, Andrew P. Kendall, Oswin So, 2021, 2104.04044.

Neuromuscular stochastic optimal control of a tendon driven index finger model

Evangelos Theodorou, Emanuel Todorov, Francisco J. Valero-Cuevas, 2011, Proceedings of the 2011 American Control Conference.

Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees

Grady Williams, Bogdan Vlahov, Bogdan I. Vlahov, 2021, IEEE Robotics and Automation Letters.

Exploring the representativeness of the M5 competition data

Evangelos A. Theodorou, E. Theodorou, Spyros Makridakis, 2021, International Journal of Forecasting.

Deep Momentum Multi-Marginal Schrödinger Bridge

E. Theodorou, T. Chen, Guan-Horng Liu, 2023, NeurIPS.

Dynamic Game Theoretic Neural Optimizer

E. Theodorou, T. Chen, Guan-Horng Liu, 2021, ICML.

Continuous-time differential dynamic programming with terminal constraints

Wei Sun, Evangelos Theodorou, Panagiotis Tsiotras, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Maximum Entropy Differential Dynamic Programming

E. Theodorou, Ziyi Wang, Oswin So, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Stochastic Differential Games: A Sampling Approach via FBSDEs

Panagiotis Tsiotras, Evangelos A. Theodorou, Ioannis Exarchos, 2018, Dynamic Games and Applications.

Stochastic Optimal Control using polynomial chaos variational integrators

Evangelos Theodorou, Gerardo De La Torre, George I. Boutselis, 2016, 2016 American Control Conference (ACC).

Optimal Thrust Profile for Planetary Soft Landing Under Stochastic Disturbances

Panagiotis Tsiotras, Evangelos A. Theodorou, Ioannis Exarchos, 2019, Journal of Guidance, Control, and Dynamics.

Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments

Rohan Thakker, Ali-akbar Agha-mohammadi, David D. Fan, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games pdf

Evangelos A. Theodorou, Tianrong Chen, Ziyi Wang, 2020, ArXiv.

Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics pdf

James M. Rehg, Evangelos A. Theodorou, Grady Williams, 2019, ArXiv.

Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control

James M. Rehg, Evangelos Theodorou, Jason Gibson, 2019, CoRL.

Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC

Evangelos A. Theodorou, Jason Gibson, Keuntaek Lee, 2020, IEEE Robotics and Automation Letters.

Robust Model Predictive Path Integral Control

Bogdan I. Vlahov, Manan S. Gandhi, E. Theodorou, 2021 .

Opinion Dynamics Steering using Stochastic Search

E. Theodorou, Ziyi Wang, 2022, 2204.00584.

Improving Model Predictive Path Integral using Covariance Steering pdf

Evangelos Theodorou, Panagiotis Tsiotras, Zhiyuan Zhang, 2021, ArXiv.

Differential Dynamic Programming for time-delayed systems

Evangelos Theodorou, David D. Fan, E. Theodorou, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Bayesian Learning-Based Adaptive Control for Safety Critical Systems

David D. Fan, Evangelos A. Theodorou, E. Theodorou, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments

David D. Fan, Bogdan I. Vlahov, E. Theodorou, 2023, IEEE International Conference on Robotics and Automation.

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control

James M. Rehg, Evangelos Theodorou, Grady Williams, 2017, CoRL.

Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs

Evangelos A. Theodorou, Ziyi Wang, Marcus A. Pereira, 2019, Robotics: Science and Systems.

Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning

Evangelos A. Theodorou, Keuntaek Lee, Kamil Saigol, 2019, 2019 International Conference on Robotics and Automation (ICRA).