October 2019
Intermediate to advanced
366 pages
12h 4m
English
Content preview from Reinforcement Learning Algorithms with Python
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Section 3: Beyond Model-Free Algorithms and Improvements
In this section, you will implement model-based algorithms, imitation learning, evolutionary strategies, and learn about some ideas that could further improve RL algorithms.
This section includes the following chapters:
- Chapter 9, Model-Based RL
- Chapter 10, Imitation Learning with the DAgger Algorithm
- Chapter 11, Understanding Black-box Optimization Algorithms
- Chapter 12, Developing the ESBAS Algorithm
- Chapter 13, Practical Implementation to Resolve RL Challenges
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