A Game Theoretic Framework for Model Based Reinforcement Learning

16 April 2020

Aravind Rajeswaran

Igor Mordatch

Vikash Kumar

OffRL

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Papers citing "A Game Theoretic Framework for Model Based Reinforcement Learning"

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Title
Imitation Learning of Correlated Policies in Stackelberg Games Kunag-Da Wang Ping-Chun Hsieh Wen-Chih Peng 50 0 0 11 Mar 2025
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective Changwen Zheng Wenwen Qiang Jianqi Zhang Changwen Zheng Jingyao Wang SSL 74 0 0 19 Jul 2024
Short-Long Policy Evaluation with Novel Actions Hyunji Alex Nam Yash Chandak Emma Brunskill OffRL 24 0 0 04 Jul 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 44 0 0 29 Feb 2024
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall Francesco Belardinelli OffRL 33 1 0 01 Feb 2024
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 39 20 0 25 Apr 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 41 5 0 30 Jan 2023
Beyond Inverted Pendulums: Task-optimal Simple Models of Legged Locomotion Yu-Ming Chen Jian-bo Hu Michael Posa 41 6 0 05 Jan 2023
Task-Driven Hybrid Model Reduction for Dexterous Manipulation Wanxin Jin Michael Posa 35 15 0 30 Nov 2022
Learning Modular Robot Locomotion from Demonstrations Julian Whitman Howie Choset 31 1 0 31 Oct 2022
Learning Modular Robot Visual-motor Locomotion Policies Julian Whitman Howie Choset 26 1 0 31 Oct 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization Sang Keun Choe Willie Neiswanger P. Xie Eric P. Xing AI4CE 36 30 0 05 Jul 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 36 18 0 30 Jun 2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 Jun 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 36 15 0 06 May 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 30 22 0 07 Feb 2022
Adversarially Trained Actor Critic for Offline Reinforcement Learning Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 16 127 0 05 Feb 2022
Offline Reinforcement Learning for Road Traffic Control Mayuresh Kunjir Sanjay Chawla OffRL 32 4 0 07 Jan 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 34 30 0 27 Dec 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 34 38 0 25 Sep 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL Catherine Cang Aravind Rajeswaran Pieter Abbeel Michael Laskin OffRL 32 29 0 16 Jun 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient Junfeng Wen Saurabh Kumar Ramki Gummadi Dale Schuurmans 34 15 0 13 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 52 35 0 06 Jun 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 37 34 0 23 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 35 2 0 07 Apr 2021
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 37 46 0 23 Aug 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach Yuanhao Wang Guodong Zhang Jimmy Ba 33 100 0 16 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 409 0 25 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017