Sheng Yue

Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency

2024

Federated Reinforcement Learning (FRL) has garnered increasing attention recently. However, due to the intrinsic spatio-temporal non-stationarity of data distributions, the current approaches typically suffer from high interaction and communication costs. In this paper, we introduce …