ConceptBellman optimality operator / 贝尔曼算子
Bellman Optimality Operator
An operator in reinforcement learning that describes the recursive relationship of optimal value functions and forms the mathematical foundation of Q-learning algorithms. Iterative application of this operator converges to the optimal state-action value function.
Timeline (last 90 days)
Oct 7
The algorithm employs variance-reduced estimation of the Bellman optimality operator locally at each agent.
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