gordicaleksa / pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Date Created 2021-04-06 (3 years ago)
Commits 53 (last one 3 years ago)
Stargazers 149 (0 this week)
Watchers 2 (0 this week)
Forks 32
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RepositoryStats indexes 585,880 repositories, of these gordicaleksa/pytorch-learn-reinforcement-learning is ranked #220,769 (62nd percentile) for total stargazers, and #479,482 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,931/116,710.

gordicaleksa/pytorch-learn-reinforcement-learning is also tagged with popular topics, for these it's ranked: python (#10,166/22039),  deep-learning (#4,145/8407),  pytorch (#2,896/5958),  reinforcement-learning (#607/1316),  jupyter (#309/552)

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gordicaleksa/pytorch-learn-reinforcement-learning

updated: 2024-11-22 @ 09:27pm, id: 355128000 / R_kgDOFSrSwA