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Download Deep Reinforcement Learning: From Q-Learning To Deep Q-Learning by ['Luiz R. Lima'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Reinforcement Learning: From Q-Learning To Deep Q-Learning
Deep reinforcement learning combines deep learning and reinforcement learning. It uses neural networks to help agents learn complex behaviors directly from high-dimensional sensory inputs. Q-learning is a basic reinforcement learning algorithm that uses rewards and state transitions to learn an optimal Q-function and policy. Deep Q-learning extends Q-learning by using a convolutional neural network to approximate the Q-function from high-dimensional input states. This allows deep reinforcement learning agents to learn directly from raw pixel inputs to solve complex problems.
Detailed Information
| Author: | ['Luiz R. Lima'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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