Christophe Prieur

A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning

Off-dynamics Reinforcement Learning (ODRL) seeks to transfer a policy from a source environment to a target environment characterized by distinct yet similar dynamics. In this context, traditional RL agents depend excessively on the dynamics of the source environment, resulting in the discovery of p…