Muzero-unplugged
DeepCubeA
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Muzero-unplugged | DeepCubeA | |
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3 | 1 | |
20 | 141 | |
- | - | |
10.0 | 5.2 | |
about 1 year ago | 8 months ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
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Muzero-unplugged
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Show HN: Ghidra Plays Mario
https://github.com/DHDev0/Muzero-unplugged
Gym is now gymnasium and it has support for additional Environments like Mujoco:
- Implementation of MuZero, MuZero Unplugged and Stochastic MuZero
DeepCubeA
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DeepRL and Rubik’s Cube
We are looking at Rubik’s Cube as target problem, and kicking off a project which will start from https://github.com/forestagostinelli/DeepCubeA and go from there.
What are some alternatives?
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