{"data":{"full_name":"gordicaleksa/pytorch-learn-reinforcement-learning","name":"pytorch-learn-reinforcement-learning","description":"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.","stars":161.0,"forks":35.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"reinforcement-learning-frameworks","last_pushed_at":"2021-05-09T12:01:22+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":21.0,"quality_score":47.0,"quality_tier":"emerging","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-14T02:28:26.481633+00:00"}}