Federated Reinforcement Learning

Federated Multi-Agent Learning

Extension of federated reinforcement learning where multiple agents interact in potentially different environments but share knowledge to collectively improve their performance. This approach combines multi-agent coordination challenges with federated privacy constraints.

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