2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
ICML 2024poster
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 collection is infeasible or expensive. This work explores the benefit of federated learning for offline RL…