Grokking Deep Reinforcement Learning

PDF, ePUB
- eBook:Grokking Deep Reinforcement Learning
- Author:Miguel Morales
- Edition:-
- Categories:
- Data:July 16, 2019
- ISBN:1617295450
- ISBN-13:9781617295454
- Language:English
- Pages:450 pages
- Format:PDF, ePUB
Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.
Content
2. Mathematical foundations of reinforcement learning
3. Balancing immediate and long-term goals
4. Balancing the gathering and use of information
5. Evaluating agents’ behaviors
6. Improving agents’ behaviors
7. Achieving goals more effectively and efficiently
8. Introduction to value-based deep reinforcement learning
9. More stable value-based methods
10. Sample-efficient value-based methods
11. Policy-gradient and actor-critic methods
12. Advanced actor-critic methods
13. Toward artificial general intelligence
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