icoxfog417/baby-steps-of-rl-ja
Python sample code repository accompanying a Japanese reinforcement learning textbook.
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This repository provides implementation code for the book ‘Pythonで学ぶ強化学習 -入門から実践まで-’ (Learning Reinforcement Learning with Python). The code covers reinforcement learning fundamentals across multiple days, starting from basic concepts like Markov Decision Processes and dynamic programming, progressing through temporal difference learning and Q-learning, and advancing to deep reinforcement learning topics including policy gradient methods and deep Q-networks.
Frequently asked
- What is icoxfog417/baby-steps-of-rl-ja?
- Python sample code repository accompanying a Japanese reinforcement learning textbook.
- Is baby-steps-of-rl-ja open source?
- Yes — icoxfog417/baby-steps-of-rl-ja is open source, released under the Apache-2.0 license.
- What language is baby-steps-of-rl-ja written in?
- icoxfog417/baby-steps-of-rl-ja is primarily written in Jupyter Notebook.
- How popular is baby-steps-of-rl-ja?
- icoxfog417/baby-steps-of-rl-ja has 453 stars on GitHub.
- Where can I find baby-steps-of-rl-ja?
- icoxfog417/baby-steps-of-rl-ja is on GitHub at https://github.com/icoxfog417/baby-steps-of-rl-ja.