Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks

Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li

Federated Reinforcement Learning (FRL) offers a promising solution to various practical challenges in resource allocation for vehicle-to-everything (V2X) networks. However, the dat…