ConceptFederated Reinforcement Learning / FedRL
Federated Reinforcement Learning
A machine learning paradigm that combines federated learning with reinforcement learning, in which multiple agents interact with a shared environment and aggregate information through a central server to collaboratively learn optimal policies while preserving data privacy.
Timeline (last 90 days)
Oct 7
In federated reinforcement learning, multiple agents interact with the same Markov decision process, exchange information through a central server, and jointly learn the optimal state-action value function.
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