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09/03/2023
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
In robust Markov decision processes (RMDPs), it is assumed that the rewa...
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03/12/2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
Robust Markov decision processes (MDPs) aim to handle changing or partia...
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01/31/2023
Policy Gradient for s-Rectangular Robust Markov Decision Processes
We present a novel robust policy gradient method (RPG) for s-rectangular...
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10/12/2021
Twice regularized MDPs and the equivalence between robustness and regularization
Robust Markov decision processes (MDPs) aim to handle changing or partia...
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01/28/2021
Acting in Delayed Environments with Non-Stationary Markov Policies
The standard Markov Decision Process (MDP) formulation hinges on the ass...
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03/05/2020
Distributional Robustness and Regularization in Reinforcement Learning
Distributionally Robust Optimization (DRO) has enabled to prove the equi...
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05/20/2019
A Bayesian Approach to Robust Reinforcement Learning
Robust Markov Decision Processes (RMDPs) intend to ensure robustness wit...
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03/11/2018
