DeepCubeA VS Muzero-unplugged

Compare DeepCubeA vs Muzero-unplugged 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)
deepcubea reinforcement-learning Deep Learning deep-reinforcement-learning Search astar-search Python3 Pytorch rubiks-cube deepcube
Source Code
deepcube.igb.uci.edu
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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)
Deep Learning deep-reinforcement-learning Gym Lstm Machine Learning neural-network Python3 Pytorch reinforcement-learning Transformer Arxiv arxiv-papers gym-environments monte-carlo-tree-search muzero resnetv1 resnetv2 rl muzero-unplugged
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DeepCubeA Muzero-unplugged
1 3
141 20
- -
5.2 10.0
9 months ago over 1 year ago
Python Python
- GNU General Public License v3.0 only
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DeepCubeA

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

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 DeepCubeA and Muzero-unplugged 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.

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.

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.

pytorch-A3C - Simple A3C implementation with pytorch + multiprocessing

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

nn-morse - Decode morse using a neural network

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).

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

muzero-general - MuZero

retro - Retro Games in Gym

DeepCubeA vs Muzero Muzero-unplugged vs Stochastic-muzero DeepCubeA vs PPO-PyTorch Muzero-unplugged vs Muzero DeepCubeA vs min2phase Muzero-unplugged vs pytorch-A3C DeepCubeA vs minimalRL Muzero-unplugged vs nn-morse DeepCubeA vs pytorch-a2c-ppo-acktr-gail Muzero-unplugged vs ghidra-tlcs900h DeepCubeA vs muzero-general Muzero-unplugged vs retro