A Model Selection Approach for Corruption Robust Reinforcement Learning

Chen-Yu Wei, Christoph Dann, Julian Zimmert

Abstract: We develop a model selection approach to tackle reinforcement learning with adversarial corruption in both transition and reward. For finite-horizon tabular MDPs, without prior knowledge on the tot...