Repository
Open source
Gymnasium · Farama-Foundation
Standard environment API and reference environments for reinforcement learning.
Robot learning frameworks
Software / Research
cleanrl · vwxyzjn
Single-file implementations of deep reinforcement-learning algorithms.
Overview
Single-file implementations of deep reinforcement-learning algorithms.
Publisher summary: “High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- vwxyzjn
- Primary language
- Python
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-04-20
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- CleanRL (Clean Implementation of RL Algorithms)
- Get started
- alternatively, you could use uv venv and do
- python run cleanrl/ppo.py
- open another terminal and enter cd cleanrl/cleanrl
- core dependencies
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