Muzero-unplugged VS DeepCubeA

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

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)

DeepCubeA

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube. (by forestagostinelli)
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Muzero-unplugged DeepCubeA
3 1
20 141
- -
10.0 5.2
about 1 year ago 8 months ago
Python Python
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.
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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-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.

DeepCubeA

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

What are some alternatives?

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

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

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pytorch-A3C - Simple A3C implementation with pytorch + multiprocessing

min2phase - Rubik's Cube Solver. An optimized implementation of Kociemba's two-phase algorithm.

nn-morse - Decode morse using a neural network

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

retro - Retro Games in Gym

muzero-general - MuZero