New answers tagged actor-critic-methods
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Why is my agent stuck on the same action in my Twin Delayed Deep Deterministic Policy Gradient (TD3) program?
The primary issue I was having was that I wasn't normalizing the input data before sending it through the system. I can confidently say that it is working now.
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How to properly optimize shared network between actor and critic?
A common practice involves using a shared encoder, which is updated based solely on critic loss, as implemented in DrQv2.
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In policy gradient methods why do we compute the gradient of the objective function through a one-trajectory estimate?
The one-trajectory sample is the Monte-Carlo way to estimate the gradient, which, turns out, to be an unbiased estimator although with high-variance due to relying only on one sample: I think this is ...
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