Download Serge Levine Course Introduction To Reinforcement Learning 6 Value Function PDF Free - Full Version
Download Serge Levine Course Introduction To Reinforcement Learning 6 Value Function 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 6 Value Function
Value function methods estimate the value or Q-function without explicitly learning a policy. Fitted Q-iteration is an off-policy batch method that fits a Q-function directly from samples without knowing the transition dynamics. While value iteration converges in the tabular case, function approximation methods like fitted value iteration and Q-learning do not theoretically converge, though they often work well in practice with tuning.
Detailed Information
| Author: | ['Nathaniel Saura'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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