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Found 2 papers, 1 papers with code
Two-Timescale Networks for Nonlinear Value Function Approximation
A key component for many reinforcement learning agents is to learn a value function, either for policy evaluation or control.
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
We first provide a policy improvement result in an idealized setting, and then prove that our conditional CEM (CCEM) strategy tracks a CEM update per state, even with changing action-values.
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