LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms.

Features

  • Full implementation of MuZero for model-based RL
  • Highly efficient and scalable for large-scale training
  • Modular and extensible architecture for custom research
  • Supports a variety of Gym and custom environments
  • Includes pre-built pipelines for training, evaluation, and benchmarking
  • Offers tools for visualizing agent learning and model predictions

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Reinforcement Learning Algorithms

Registered

2025-03-13