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RL Baselines Zoo is a comprehensive training framework and collection of pre-trained RL agents using Stable-Baselines3. It offers tools for training, tuning, and evaluating RL algorithms across many standard environments, including MuJoCo, Atari, and robotics simulations. Designed for reproducible RL research and benchmarking, it includes scripts, hyperparameter presets, and best practices for training robust agents.
Features
- Collection of optimized hyperparameters for many environments
- Supports Stable-Baselines3 RL algorithms (PPO, A2C, DDPG, SAC, TD3)
- Tools for automated training, evaluation, and saving of agents
- Includes benchmarking and comparison framework
- Provides pre-trained models for direct evaluation and transfer learning
- Compatible with custom environments and Gym-based setups
Project Samples
Categories
Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow RL Baselines Zoo
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