Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Reinforcement Learning An Introduction | 12,338 | a month ago | 16 | mit | Python | |||||
Python Implementation of Reinforcement Learning: An Introduction | ||||||||||
Awesome Artificial Intelligence | 7,727 | a month ago | 43 | |||||||
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. | ||||||||||
Tensorlayer | 7,188 | 34 | 6 | 4 months ago | 83 | February 15, 2022 | 30 | other | Python | |
Deep Learning and Reinforcement Learning Library for Scientists and Engineers | ||||||||||
Palm Rlhf Pytorch | 6,381 | 2 months ago | 12 | mit | Python | |||||
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM | ||||||||||
Reinforcement Learning | 3,657 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning | ||||||||||
Polyaxon | 3,328 | 4 | 11 | 18 hours ago | 334 | June 05, 2022 | 122 | apache-2.0 | ||
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle | ||||||||||
Tensorwatch | 3,310 | 6 | 1 | 2 days ago | 14 | March 04, 2020 | 55 | mit | Jupyter Notebook | |
Debugging, monitoring and visualization for Python Machine Learning and Data Science | ||||||||||
Dm_control | 3,189 | 12 | 18 days ago | 25 | May 23, 2022 | 69 | apache-2.0 | Python | ||
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. | ||||||||||
Awesome Chatgpt | 3,161 | 5 days ago | 1 | |||||||
ChatGPT资料汇总学习,持续更新...... | ||||||||||
Data Science Best Resources | 2,466 | 13 days ago | 5 | mit | ||||||
Carefully curated resource links for data science in one place |
@@ I am looking for self-motivated students interested in RL at different levels! @@
@@ Visit https://shangtongzhang.github.io/people/ for more details. @@
Python replication for Sutton & Barto's book Reinforcement Learning: An Introduction (2nd Edition)
If you have any confusion about the code or want to report a bug, please open an issue instead of emailing me directly, and unfortunately I do not have exercise answers for the book.
All files are self-contained
python any_file_you_want.py
If you want to contribute some missing examples or fix some bugs, feel free to open an issue or make a pull request.