Arnaud Autef

Kernel-Based Reinforcement Learning in Robust Markov Decision Processes

The robust Markov decision processes (MDP) framework aims to address the problem of parameter uncertainty due to model mismatch, approximation errors or even adversarial behaviors. It is especially relevant when deploying the learned policies in real-world applications. Scaling up the robust MDP fra…