Federated offline reinforcement learning: Collaborative single-policy coverage suffices
Offline reinforcement learning (RL), which seeks to learn an optimal policy using offline data,
has garnered significant interest due to its potential in critical applications where online data …
has garnered significant interest due to its potential in critical applications where online data …
Federated Offline Policy Optimization with Dual Regularization
Federated Reinforcement Learning (FRL) has been deemed as a promising solution for
intelligent decision-making in the era of Artificial Internet of Things. However, existing FRL …
intelligent decision-making in the era of Artificial Internet of Things. However, existing FRL …