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Download 07 Deep Reinforcement Learning (John) by ['Muhammad Rizwan'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About 07 Deep Reinforcement Learning (John)
Deep reinforcement learning uses neural networks to approximate functions like policies, value functions, and models in reinforcement learning problems. The talk introduces policy gradient methods and Q-learning as the leading techniques in deep reinforcement learning. Policy gradient methods directly adjust the policy parameters to maximize expected returns by following the policy gradient. Q-learning estimates the value of state-action pairs and selects actions greedily with respect to the estimated Q-values. The talk discusses applications of deep reinforcement learning in robotics, business operations, and other machine learning problems. It also provides an overview of Markov decision processes and episodic reinforcement learning problems.
Detailed Information
| Author: | ['Muhammad Rizwan'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 52 |
| Language: | English |
| Format: | |
| Price: | FREE |
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