Download Serge Levine Course Introduction To Reinforcement Learning 4: Actor Criric PDF Free - Full Version
Download Serge Levine Course Introduction To Reinforcement Learning 4: Actor Criric by ['Nathaniel Saura'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Serge Levine Course Introduction To Reinforcement Learning 4: Actor Criric
The document discusses actor-critic algorithms for deep reinforcement learning. Actor-critic methods use a learned policy (actor) and value function (critic) to reduce the variance in policy gradient estimates compared to actor-only methods. The critic is used to fit a baseline to samples from the policy to calculate advantage estimates. The actor and critic can be trained jointly using these estimated advantages to improve the policy while also learning the value function. Various techniques are described to control the bias-variance tradeoff such as n-step returns, generalized advantage estimation, and state or action-dependent baselines.
Detailed Information
| Author: | ['Nathaniel Saura'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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