DeepCubeA VS min2phase

Compare DeepCubeA vs min2phase and see what are their differences.

DeepCubeA

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

min2phase

Rubik's Cube Solver. An optimized implementation of Kociemba's two-phase algorithm. (by cs0x7f)
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DeepCubeA min2phase
1 2
141 298
- -
5.2 1.5
9 months ago about 1 year ago
Python Java
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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.

DeepCubeA

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

min2phase

Posts with mentions or reviews of min2phase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-18.

What are some alternatives?

When comparing DeepCubeA and min2phase you can also consider the following projects:

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

min2phase - An implementation of Kociemba's two-phase algorithm for solving rubik's cube. (Adapted from Shuang Chen's Java code)

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

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

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.

qbr - A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.

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

magiccube - A fast implementation of the Rubik Cube based in Python 3.x.

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).

Flutter-AI-Rubik-cube-Solver - Flutter-Python rubiks cube solver.

muzero-general - MuZero

the-cube - The Cube - A Rubik's Cube Game