Muzero VS LightZero

Compare Muzero vs LightZero and see what are their differences.

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Muzero LightZero
1 3
16 875
- 4.7%
10.0 8.8
over 1 year ago 9 days ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Muzero

Posts with mentions or reviews of Muzero. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

LightZero

Posts with mentions or reviews of LightZero. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Muzero and LightZero you can also consider the following projects:

neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network

Stochastic-muzero - Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

muzero-general - MuZero

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

JORLDY - Repository for Open Source Reinforcement Learning Framework JORLDY

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

nn-morse - Decode morse using a neural network

DeepCubeA - Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.