Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability

Aviv Tamar, Daniel Soudry, Ev Zisselman

In the Bayesian reinforcement learning (RL) setting, a prior distribution over the unknown problem parameters -- the rewards and transitions -- is assumed, and a policy that optimi…