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1905.08188
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A Bayesian Approach to Robust Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
20 May 2019
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
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Papers citing
"A Bayesian Approach to Robust Reinforcement Learning"
39 / 39 papers shown
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li
Zihao Mao
Hanxiao Li
Zonglei Jing
Zhuohang bian
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Yuqing Ma
Bo An
Yaodong Yang
Weifeng Lv
Xianglong Liu
154
0
0
13 Oct 2025
Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss Functions
Xiaoshuang Wang
Yifan Lin
Enlu Zhou
128
0
0
19 Sep 2025
Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems
Bin Liu
233
0
0
29 Jul 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Shireen Kudukkil Manchingal
Andrew Bradley
Julian F. P. Kooij
Keivan K1 Shariatmadar
Neil Yorke-Smith
Fabio Cuzzolin
557
1
0
08 May 2025
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Neural Information Processing Systems (NeurIPS), 2024
Rui Yang
Jie Wang
Guoping Wu
Yangqiu Song
AAML
OffRL
405
8
0
01 Nov 2024
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
European Conference on Artificial Intelligence (ECAI), 2024
Sheryl Paul
Jyotirmoy V. Deshmukh
150
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
231
0
0
07 Oct 2024
Percentile Criterion Optimization in Offline Reinforcement Learning
Elita Lobo
Cyrus Cousins
Yair Zick
Marek Petrik
OffRL
237
4
0
07 Apr 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
Zhishuai Liu
Pan Xu
OOD
OffRL
275
20
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
300
2
0
05 Feb 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Yifan Hu
Andreas Krause
Ilija Bogunovic
OOD
228
22
0
05 Sep 2023
Model-based Offline Policy Optimization with Adversarial Network
European Conference on Artificial Intelligence (ECAI), 2023
Junming Yang
Xingguo Chen
Shengyuan Wang
Bolei Zhang
OffRL
162
3
0
05 Sep 2023
Value-Distributional Model-Based Reinforcement Learning
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
OffRL
214
8
0
12 Aug 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm
Ukjo Hwang
Songnam Hong
243
1
0
11 May 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
IEEE International Joint Conference on Neural Network (IJCNN), 2023
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
357
1
0
02 May 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Zaiyan Xu
Kishan Panaganti
D. Kalathil
OOD
OffRL
228
49
0
05 Mar 2023
Minimax-Bayes Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Thomas Kleine Buening
Christos Dimitrakakis
Hannes Eriksson
Divya Grover
Emilio Jorge
OffRL
201
7
0
21 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRL
OOD
268
10
0
26 Jan 2023
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Neural Information Processing Systems (NeurIPS), 2022
Kaiyang Guo
Yunfeng Shao
Yanhui Geng
OffRL
212
30
0
13 Oct 2022
Robust Reinforcement Learning using Offline Data
Neural Information Processing Systems (NeurIPS), 2022
Kishan Panaganti
Zaiyan Xu
D. Kalathil
Mohammad Ghavamzadeh
OffRL
337
109
0
10 Aug 2022
Robust Anytime Learning of Markov Decision Processes
Neural Information Processing Systems (NeurIPS), 2022
Marnix Suilen
T. D. Simão
David Parker
N. Jansen
240
20
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
240
4
0
30 May 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
AAAI Conference on Artificial Intelligence (AAAI), 2022
J. Li
Zhaolin Ren
Dong Yan
Hang Su
Jun Zhu
319
7
0
13 Mar 2022
Constrained Policy Optimization via Bayesian World Models
International Conference on Learning Representations (ICLR), 2022
Yarden As
Ilnura N. Usmanova
Sebastian Curi
Andreas Krause
OffRL
261
64
0
24 Jan 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti
D. Kalathil
428
97
0
02 Dec 2021
When should agents explore?
International Conference on Learning Representations (ICLR), 2021
Miruna Pislar
David Szepesvari
Georg Ostrovski
Diana Borsa
Tom Schaul
194
26
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
267
6
0
07 Jul 2021
Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics
Wenhao Yang
Liangyu Zhang
Zhihua Zhang
245
34
0
09 May 2021
Robust Policy Gradient against Strong Data Corruption
International Conference on Machine Learning (ICML), 2021
Xuezhou Zhang
Yiding Chen
Xiaojin Zhu
Wen Sun
AAML
347
42
0
11 Feb 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Marc Rigter
Bruno Lacerda
Nick Hawes
190
45
0
10 Feb 2021
Soft-Robust Algorithms for Batch Reinforcement Learning
Elita Lobo
Mohammad Ghavamzadeh
Marek Petrik
OffRL
325
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
319
20
0
20 Oct 2020
Entropic Risk Constrained Soft-Robust Policy Optimization
R. Russel
Bahram Behzadian
Marek Petrik
208
5
0
20 Jun 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes
C. Ho
Marek Petrik
W. Wiesemann
242
58
0
16 Jun 2020
Robust Stochastic Bayesian Games for Behavior Space Coverage
Julian Bernhard
Alois Knoll
230
4
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
364
130
0
24 Mar 2020
Distributional Robustness and Regularization in Reinforcement Learning
E. Derman
Shie Mannor
264
50
0
05 Mar 2020
Optimizing Percentile Criterion Using Robust MDPs
Bahram Behzadian
R. Russel
Marek Petrik
Chin Pang Ho
229
4
0
23 Oct 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification
International Conference on Learning Representations (ICLR), 2019
D. Mankowitz
Nir Levine
Rae Jeong
Yuanyuan Shi
Jackie Kay
A. Abdolmaleki
Jost Tobias Springenberg
Timothy A. Mann
Todd Hester
Martin Riedmiller
OOD
238
129
0
18 Jun 2019
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