Exploration via Exploitation: The Blessing of Reward Diversity in Personalized Federated RL
Read the original at arxiv.org→arXiv:2611.12964v1 Announce Type: new Abstract: While federated reinforcement learning (RL) has traditionally guaranteed high efficiency in homogeneous environments, collaboration is often hindered when agents...
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- Nov 11, 05:00 UTC arXiv cs.LG lead source Exploration via Exploitation: The Blessing of Reward Diversity in Personalized Federated RL