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Robust Markov Decision Processes (RMDPs) intend to ensure robustness with respect to changing or adversarial system behavior.
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
William R. Thompson · 1933
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Matrix Computations
Gene H. Golub and Charles F. Van Loan · 1996
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Bayesian q-learning
Richard Dearden, Nir Friedman, and Stuart Russel · 1998
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Model-based bayesian exploration
Richard Dearden, Nir Friedman, and David Andre · 1999
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Dynamic Programming and Optimal Control , volume 1
Dimitri P. Bertsekas · 2000
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A bayesian framework for reinforcement learning
Malcolm Strens · 2000
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Robust Dynamic Programming
Garud N. Iyengar · 2005
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Robust control of Markov decision processes with uncertain transition matrices
Arnab Nilim and Laurent El Ghaoui · 2005
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Bias and Variance Approximation in Value Function Estimates
Shie Mannor, Duncan Simester, Peng Sun, and John N. Tsitsiklis · 2007
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Near-optimal regret bounds for reinforcement learning
Thomas Jaksch, Ronald Ortner, and Peter Auer · 2010
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Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty
Shie Mannor, Ofir Mebel, and Huan Xu · 2012
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Distributionally Robust Markov Decision Processes
Huan Xu and Shie Mannor · 2012
Cited alongside, same era.
Statistical Decision Theory and Bayesian Analysis
James O. Berger · 2013
Cited alongside, same era.
(more) efficient reinforcement learning via posterior sampling
Ian Osband, Benjamin Van Roy, and Daniel Russo · 2013
Cited alongside, same era.
Robust Markov decision processes
Wolfram Wiesemann, Daniel Kuhn, and Berç Rustem · 2013
Cited alongside, same era.
Scaling up robust MDPs using function approximation
Aviv Tamar, Shie Mannor, and Huan Xu · 2014
Cited alongside, same era.
Risk-sensitive and robust decision-making: a CVaR optimization approach
Yinlam Chow, Aviv Tamar, Shie Mannor, and Marco Pavone · 2015
Cited alongside, same era.
Why is posterior sampling better than optimism for reinforcement learning?
Ian Osband and Benjamin Van Roy · 2017
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Reinforcement learning under Model Mismatch
Aurko Roy, Huan Xu, and Sebastian Pokutta · 2017
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Soft-robust actor-critic policy-gradient
Esther Derman, Daniel J. Mankowitz, and Timothy A. Mann · 2018
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Near-optimal Bayesian ambiguity sets for distributionally robust optimization
Vishal Gupta · 2018
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Learning Robust Options
Daniel J Mankowitz, Timothy A Mann, Shie Mannor, Doina Precup, and Pierre-Luc Bacon · 2018
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The Uncertainty Bellman Equation and Exploration
Brendan O’Donoghue, Ian Osband, Remi Munos, and Volodymyr Mnih · 2018
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Bayesian Reinforcement Learning: A Survey
Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, and Aviv Tamar · 2015
Cited alongside, same era.
Robust MDPs with k-Rectangular Uncertainty
Shie Mannor, Ofir Mebel, and Huan Xu · 2016
Cited alongside, same era.
Generalization and exploration via randomized value functions
Ian Osband, Benjamin Van Roy, and Zheng Wen · 2016
Cited alongside, same era.
Distributionally Robust Counterpart in Markov Decision Processes
Pengqian Yu and Huan Xu · 2016
Cited alongside, same era.
Shirli Di-Castro Shashua and Shie Mannor · 2017
Cited alongside, same era.
Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Huan Xu, and Shie Mannor
Cited in the paper.
Tight bayesian ambiguity sets for robust MDPs
Reazul Hasan Russel and Marek Petrik · 2018
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Policy-conditioned uncertainty sets for robust Markov decision processes
Andrea Tirinzoni, Marek Petrik, Xiangli Chen, and Brian Ziebart · 2018
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Robust Markov decision process: Beyond rectangularity
Vineet Goyal and Julien Grand-Clement · 2019
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Beyond confidence regions: Tight bayesian ambiguity sets for robust mdps
Marek Petrik and Reazul Hasan Russell · 2019
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Reward constrained policy optimization
Chen Tessler, Daniel J. Mankowitz, and Shie Mannor · 2019
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