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GitHub / MatthewGerber / rlai
This is a Python implementation of concepts and algorithms described in "Reinforcement Learning: An Introduction" (Sutton and Barto, 2018, 2nd edition).
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MatthewGerber%2Frlai
Stars: 7
Forks: 3
Open Issues: 8
License: mit
Language: Python
Repo Size: 96.5 MB
Dependencies:
21
Created: over 3 years ago
Updated: 11 months ago
Last pushed: about 1 month ago
Last synced: 14 days ago
Commit Stats
Commits: 732
Authors: 2
Mean commits per author: 366.0
Development Distribution Score: 0.07
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/MatthewGerber/rlai
Topics: barto, python, reinforcement-learning, sutton
Files
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- PyQt6 ~=6.6
- gym [box2d]==0.24.1
- gym ==0.24.1
- ipython ~=8.17
- jax [cpu]~=0.4; sys_platform!="linux-aarch64"
- jax ~=0.4; sys_platform=="linux-aarch64"
- jupyterlab ~=4.0
- matplotlib ~=3.8
- mujoco ==2.2.0
- mujoco-py ==2.1.2.14
- numpy ~=1.26
- pandas ~=2.1
- patsy ~=0.5
- pyqtgraph ~=0.13
- scikit-learn ~=1.3
- scipy ~=1.11
- tabulate ~=0.9