A Bayesian Approach to Robust Reinforcement Learning

20 May 2019

Papers citing "A Bayesian Approach to Robust Reinforcement Learning"

37 / 37 papers shown

Title
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 56 0 0 08 May 2025
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang Jie Wang Guoping Wu B. Li AAML OffRL 34 1 0 01 Nov 2024
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts Sheryl Paul Jyotirmoy V. Deshmukh 24 0 0 22 Oct 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Takamitsu Matsubara 25 0 0 07 Oct 2024
Percentile Criterion Optimization in Offline Reinforcement Learning Elita Lobo Cyrus Cousins Yair Zick Marek Petrik OffRL 22 1 0 07 Apr 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation Zhishuai Liu Pan Xu OOD OffRL 39 8 0 23 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 38 4 0 05 Feb 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
Model-based Offline Policy Optimization with Adversarial Network Junming Yang Xingguo Chen Shengyuan Wang Bolei Zhang OffRL 14 2 0 05 Sep 2023
Value-Distributional Model-Based Reinforcement Learning Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 24 4 0 12 Aug 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 25 0 0 11 May 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 14 1 0 02 May 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 29 30 0 05 Mar 2023
Minimax-Bayes Reinforcement Learning Thomas Kleine Buening Christos Dimitrakakis Hannes Eriksson Divya Grover Emilio Jorge OffRL 16 5 0 21 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 21 6 0 26 Jan 2023
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief Kaiyang Guo Yunfeng Shao Yanhui Geng OffRL 14 23 0 13 Oct 2022
Robust Reinforcement Learning using Offline Data Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 32 66 0 10 Aug 2022
Robust Anytime Learning of Markov Decision Processes Marnix Suilen T. D. Simão David Parker N. Jansen 8 13 0 31 May 2022
A Simulation Environment and Reinforcement Learning Method for Waste Reduction Sami Jullien Mozhdeh Ariannezhad Paul T. Groth Maarten de Rijke OOD OffRL 11 4 0 30 May 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model J. Li Tongzheng Ren Dong Yan Hang Su Jun Zhu 19 7 0 13 Mar 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 11 54 0 24 Jan 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 93 69 0 02 Dec 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 29 22 0 26 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics Wenhao Yang Liangyu Zhang Zhihua Zhang 18 33 0 09 May 2021
Robust Policy Gradient against Strong Data Corruption Xuezhou Zhang Yiding Chen Xiaojin Zhu Wen Sun AAML 32 36 0 11 Feb 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning Marc Rigter Bruno Lacerda Nick Hawes 17 41 0 10 Feb 2021
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 20 4 0 30 Nov 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 16 11 0 20 Oct 2020
Entropic Risk Constrained Soft-Robust Policy Optimization R. Russel Bahram Behzadian Marek Petrik 14 3 0 20 Jun 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes C. Ho Marek Petrik W. Wiesemann 22 53 0 16 Jun 2020
Robust Stochastic Bayesian Games for Behavior Space Coverage Julian Bernhard Alois Knoll 17 3 0 25 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 18 120 0 24 Mar 2020
Distributional Robustness and Regularization in Reinforcement Learning E. Derman Shie Mannor 22 44 0 05 Mar 2020
Optimizing Percentile Criterion Using Robust MDPs Bahram Behzadian R. Russel Marek Petrik Chin Pang Ho 11 3 0 23 Oct 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz Nir Levine Rae Jeong Yuanyuan Shi Jackie Kay A. Abdolmaleki Jost Tobias Springenberg Timothy A. Mann Todd Hester Martin Riedmiller OOD 14 118 0 18 Jun 2019
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 67 310 0 06 Jun 2015