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SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently.
Features
- Supports a wide range of state-of-the-art RL algorithms
- Integrates visualization and analysis tools for performance evaluation
- Modular design for easy customization and extension
- Includes automated hyperparameter search and tuning tools
- Provides detailed experiment tracking and reproducibility features
- Supports distributed training and scalability for large experiments
Project Samples
Categories
Reinforcement Learning FrameworksLicense
MIT LicenseFollow SLM Lab
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