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Questions tagged [policy-gradients]

For questions related to reinforcement learning algorithms often referred to as "policy gradients" (or "policy gradient algorithms"), which attempt to directly optimise a parameterised policy (without first attempting to estimate value functions) using gradients of an objective function with respect to the policy's parameters.

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What information should be cached in experience replay for actor-critic?

Experience replay is buffer (or a "memory") of transactions $e_t = (s_t, a_t, r_t, s_{t+1})$. The equations for calculating the loss in actor critic are an actor loss (parameterized by $\theta$) $$...