Stochastic-muzero VS Muzero-unplugged

Compare Stochastic-muzero vs Muzero-unplugged and see what are their differences.

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. (by DHDev0)

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. (by DHDev0)
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Stochastic-muzero Muzero-unplugged
1 3
44 20
- -
4.5 10.0
7 months ago over 1 year ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
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.

Stochastic-muzero

Posts with mentions or reviews of Stochastic-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.

Muzero-unplugged

Posts with mentions or reviews of Muzero-unplugged. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-09.

What are some alternatives?

When comparing Stochastic-muzero and Muzero-unplugged you can also consider the following projects:

LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

pytorch-A3C - Simple A3C implementation with pytorch + multiprocessing

muzero-general - MuZero

nn-morse - Decode morse using a neural network

ghidra-tlcs900h - Ghidra processor module for Toshiba TLCS-900/H

retro - Retro Games in Gym

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

ghidra-plays-mario - Playing NES ROMs with Ghidra's PCode Emulator

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

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)