werner-duvaud/muzero-general
A commented implementation of the MuZero deep reinforcement learning algorithm using PyTorch and Monte Carlo Tree Search.
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This repository provides a documented implementation of MuZero, a Google DeepMind reinforcement learning algorithm that learns an internal model of the environment for planning. It uses PyTorch for neural network training, Monte Carlo Tree Search for decision making, and residual networks for function approximation. The project is designed for adaptability across different games and RL environments like OpenAI Gym.
Frequently asked
- What is werner-duvaud/muzero-general?
- A commented implementation of the MuZero deep reinforcement learning algorithm using PyTorch and Monte Carlo Tree Search.
- Is muzero-general open source?
- Yes — werner-duvaud/muzero-general is open source, released under the MIT license.
- What language is muzero-general written in?
- werner-duvaud/muzero-general is primarily written in Python.
- How popular is muzero-general?
- werner-duvaud/muzero-general has 2.8k stars on GitHub.
- Where can I find muzero-general?
- werner-duvaud/muzero-general is on GitHub at https://github.com/werner-duvaud/muzero-general.