DHDev0/Muzero
Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
This project provides a PyTorch implementation of the MuZero algorithm, a powerful reinforcement learning technique. It helps researchers and engineers who are developing AI agents for simulated environments, by allowing them to train agents on various game-like scenarios. You provide the simulation environment and it outputs a trained AI model capable of making decisions within that environment.
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Use this if you are a machine learning researcher or engineer looking to train AI agents using the MuZero algorithm in a wide range of Gymnasium simulation environments.
Not ideal if you are looking for a plug-and-play solution for real-world robotic control or complex multi-agent systems, as this project focuses on single-player simulated environments.
Stars
19
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 24, 2023
Commits (30d)
0
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