Weiwei Fu

Expected Returns and Policy Inconsistency-Aware Offline Federated Deep Reinforcement Learning

Offline Federated Deep Reinforcement Learning (FDRL) methods aggregate multiple client-side offline Deep Reinforcement Learning (DRL) models, each trained locally, to facilitate knowledge sharing while preserving privacy. Existing offline FDRL methods assign client weights during global aggregation …