research
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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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06/09/2023
Robust Reinforcement Learning via Adversarial Kernel Approximation
Robust Markov Decision Processes (RMDPs) provide a framework for sequent...
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01/31/2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
We present an efficient robust value iteration for -rectangular robust M...
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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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10/03/2022
Policy Gradient for Reinforcement Learning with General Utilities
In Reinforcement Learning (RL), the goal of agents is to discover an opt...
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05/28/2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization
Robust Markov decision processes (MDPs) provide a general framework to m...
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01/30/2022
