Maximum Entropy RL (Provably) Solves Some Robust RL Problems

10 March 2021

Papers citing "Maximum Entropy RL (Provably) Solves Some Robust RL Problems"

50 / 114 papers shown

Title
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization Uri Gadot E. Derman Navdeep Kumar Maxence Mohamed Elfatihi Kfir Y. Levy Shie Mannor 27 5 0 03 Sep 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 11 5 0 26 Jul 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou Tao-Wen Liu Min Cheng D. Kalathil P. R. Kumar Chao Tian 35 19 0 17 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 33 5 0 20 Jun 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL Miguel Suau M. Spaan F. Oliehoek CML 14 4 0 04 Jun 2023
Solving Robust MDPs through No-Regret Dynamics E. Guha 20 0 0 30 May 2023
Reinforcement Learning with Simple Sequence Priors Tankred Saanum N. Éltető Peter Dayan Marcel Binz Eric Schulz OffRL 21 7 0 26 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 21 5 0 17 May 2023
What Matters in Reinforcement Learning for Tractography Antoine Théberge Christian Desrosiers Maxime Descoteaux Pierre-Marc Jodoin OffRL 13 2 0 15 May 2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 21 0 0 22 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 34 1 0 12 Mar 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 13 12 0 10 Mar 2023
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint Taisuke Kobayashi 29 3 0 08 Mar 2023
Bounding the Optimal Value Function in Compositional Reinforcement Learning Jacob Adamczyk Volodymyr Makarenko A. Arriojas Stas Tiomkin R. Kulkarni OffRL 27 2 0 05 Mar 2023
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning Dong Ho Lee Jaemyung Ahn 14 6 0 02 Mar 2023
Minimax-Bayes Reinforcement Learning Thomas Kleine Buening Christos Dimitrakakis Hannes Eriksson Divya Grover Emilio Jorge OffRL 16 5 0 21 Feb 2023
Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function Jacob Adamczyk Stas Tiomkin R. Kulkarni OffRL 20 0 0 19 Feb 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 26 46 0 14 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 23 1 0 31 Jan 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman M. Geist Kfir Y. Levy Shie Mannor 16 19 0 31 Jan 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 14 1 0 18 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George K. Atia Ashley Prater-Bennette Shaofeng Zou 31 11 0 02 Jan 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 30 5 0 22 Dec 2022
Risk-Sensitive Reinforcement Learning with Exponential Criteria Erfaun Noorani Christos N. Mavridis John S. Baras 25 8 0 18 Dec 2022
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost Koshi Oishi Yota Hashizume Tomohiko Jimbo Hirotaka Kaji Kenji Kashima 13 2 0 05 Dec 2022
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning Jacob Adamczyk A. Arriojas Stas Tiomkin R. Kulkarni 29 8 0 02 Dec 2022
Path Planning Using Wassertein Distributionally Robust Deep Q-learning Cem Alptürk Venkatraman Renganathan OOD 11 0 0 04 Nov 2022
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 17 9 0 03 Oct 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 14 10 0 02 Oct 2022
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 46 10 0 21 Sep 2022
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning Xianfu Chen Zhifeng Zhao S. Mao Celimuge Wu Honggang Zhang M. Bennis OffRL 18 3 0 19 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang-Cuong Pham 36 1 0 15 Sep 2022
A Gaussian variational inference approach to motion planning Hongzhe Yu Yongxin Chen 32 16 0 13 Sep 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 22 31 0 13 Jul 2022
Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice Duy-Nguyen Ta Eric A. Cousineau Huihua Zhao Siyuan Feng 26 3 0 12 Jul 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 34 3 0 05 Jul 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 31 7 0 14 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 37 35 0 29 May 2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 11 18 0 28 May 2022
Complex behavior from intrinsic motivation to occupy action-state path space Jorge Ramírez-Ruiz D. Grytskyy Chiara Mastrogiuseppe Yamen Habib R. Moreno-Bote 22 7 0 20 May 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 67 0 15 May 2022
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics Yannis Flet-Berliac D. Basu AAML 12 8 0 20 Apr 2022
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 8 5 0 15 Apr 2022
Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges Kaito Ito Kenji Kashima 11 12 0 11 Apr 2022
Your Policy Regularizer is Secretly an Adversary Rob Brekelmans Tim Genewein Jordi Grau-Moya Grégoire Delétang M. Kunesch Shane Legg Pedro A. Ortega AAML 13 12 0 23 Mar 2022
Do You Need the Entropy Reward (in Practice)? Haonan Yu Haichao Zhang Wei-ping Xu 28 7 0 28 Jan 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning Xiang Li Wenhao Yang Jiadong Liang Zhihua Zhang Michael I. Jordan 32 15 0 29 Dec 2021
Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning Dailin Hu Pieter Abbeel Roy Fox 16 1 0 28 Nov 2021