Federated averaging of behavior-metric-based state projection networks improves cross-environment generalization in federated reinforcement learning, while the claimed privacy protection is not demonstrated.
Bisimulation metrics for continuous markov decision processes.SIAM Journal on Computing, 40(6):1662–1714,
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Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Federated averaging of behavior-metric-based state projection networks improves cross-environment generalization in federated reinforcement learning, while the claimed privacy protection is not demonstrated.