Evangelos A. Theodorou
Orcid: 0000-0002-0834-5738Affiliations:
- Georgia Institute of Technology, Institute for Robotics and Intelligent Machines, Atlanta, GA, USA
- University of Washington, Departments of Computer Science and Engineering, Seattle, WA, USA
- University of Southern California, Los Angeles, Computational Learning and Motor Control Lab, CA, USA
According to our database1,
Evangelos A. Theodorou
authored at least 197 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., February, 2024
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective.
CoRR, 2024
2023
Distributed Differential Dynamic Programming Architectures for Large-Scale Multiagent Control.
IEEE Trans. Robotics, December, 2023
IEEE Trans. Control. Netw. Syst., March, 2023
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Improved Exploration for Safety-Embedded Differential Dynamic Programming Using Tolerant Barrier States.
Proceedings of the 21st International Conference on Advanced Robotics, 2023
2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Control. Syst. Lett., 2022
CoRR, 2022
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian.
CoRR, 2022
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control.
CoRR, 2022
CoRR, 2022
Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics.
Auton. Robots, 2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization.
Proceedings of the American Control Conference, 2022
2021
Discrete-Time Differential Dynamic Programming on Lie Groups: Derivation, Convergence Analysis, and Numerical Results.
IEEE Trans. Autom. Control., 2021
IEEE Trans. Autom. Control., 2021
IEEE Robotics Autom. Lett., 2021
Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems.
Entropy, 2021
CoRR, 2021
CoRR, 2021
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems.
CoRR, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems.
Proceedings of the 2021 American Control Conference, 2021
2020
Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC.
IEEE Robotics Autom. Lett., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control.
CoRR, 2020
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning.
CoRR, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design.
Proceedings of the Robotics: Science and Systems XVI, 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs.
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE Trans. Control. Netw. Syst., 2019
SIAM J. Sci. Comput., 2019
IEEE Robotics Autom. Lett., 2019
Dyn. Games Appl., 2019
CoRR, 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics.
CoRR, 2019
Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma.
CoRR, 2019
Proceedings of the Robotics: Science and Systems XV, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Hierarchical optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
The Science of Autonomy: A Holistic View at the Intersection of Learning, Control and Physics.
Proceedings of the 16th International Conference on Informatics in Control, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving.
IEEE Trans. Robotics, 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Syst. Control. Lett., 2018
Propagating Uncertainty through the tanh Function with Application to Reservoir Computing.
CoRR, 2018
Stochastic optimal control via forward and backward stochastic differential equations and importance sampling.
Autom., 2018
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018
Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
CoRR, 2017
A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.
CoRR, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control.
Proceedings of the 34th International Conference on Machine Learning, 2017
Evolving cost functions for model predictive control of multi-agent UAV combat swarms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Proceedings of the 2017 American Control Conference, 2017
Stochastic control of systems with control multiplicative noise using second order FBSDEs.
Proceedings of the 2017 American Control Conference, 2017
2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Game-theoretic and risk-sensitive stochastic optimal control via forward and backward stochastic differential equations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Spectral variational integrators for trajectory optimization under parametric uncertainties and stochastic disturbances.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Nonlinear-nonquadratic optimal and inverse optimal control for stochastic dynamical systems.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Nonlinear Stochastic Control and Information Theoretic Dualities: Connections, Interdependencies and Thermodynamic Interpretations.
Entropy, 2015
Model Predictive Path Integral Control using Covariance Variable Importance Sampling.
CoRR, 2015
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
2014
CoRR, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Information-theoretic stochastic optimal control via incremental sampling-based algorithms.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Robotics Auton. Syst., 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
The δ - sensitivity and its application to stochastic optimal control of nonlinear diffusions.
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
IEEE Trans. Robotics, 2012
IEEE Trans. Auton. Ment. Dev., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Robotics: Science and Systems VIII, 2012
Tendon-driven control of biomechanical and robotic systems: A path integral reinforcement learning approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Relative entropy and free energy dualities: Connections to Path Integral and KL control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
J. Mach. Learn. Res., 2010
Proceedings of the Robotics: Science and Systems VI, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010
Proceedings of the American Control Conference, 2010
2009
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the Machine Learning: ECML 2007, 2007