petosa / simple-alpha-zeroLinks
Clean, tested, & modular AlphaZero implementation with multiplayer support.
☆17Updated 6 years ago
Alternatives and similar repositories for simple-alpha-zero
Users that are interested in simple-alpha-zero are comparing it to the libraries listed below
Sorting:
- The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with☆217Updated 2 years ago
- ☆30Updated 2 years ago
- A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.☆78Updated 7 months ago
- ☆221Updated last year
- Connect4 reinforcement learning by AlphaGo Zero methods.☆113Updated 4 years ago
- An environment of the board game Go using OpenAI's Gym API☆174Updated 3 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆159Updated 4 years ago
- A structured implementation of MuZero☆204Updated 3 years ago
- MiniZero: An AlphaZero and MuZero Training Framework☆94Updated 4 months ago
- A clean implementation based on Expert Iterations for any game, inspired by alpha-zero-general☆44Updated 2 years ago
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 4 years ago
- AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Maste…☆90Updated 7 years ago
- Learning from zero (mostly based off of AlphaZero) in General Game Playing.☆83Updated 2 years ago
- Multi-agent reinforcement learning environment☆37Updated 6 years ago
- A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games☆143Updated 8 months ago
- A simple chess environment for openai/gym☆161Updated last year
- Scalable Implementation of Neural Fictitous Self-Play☆83Updated 6 years ago
- AlphaZero in JAX☆78Updated last year
- Pytorch Implementation of MuZero☆353Updated last year
- ☆67Updated 3 years ago
- Library for running a Monte Carlo tree search, either traditionally or with expert policies☆126Updated last year
- fast + parallel AlphaZero in JAX☆97Updated 6 months ago
- A checkers reinforcement learning AI, and all the tools needed to train it.☆57Updated 5 years ago
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆67Updated last year
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆21Updated 2 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆258Updated last year
- A PyTorch implementation of DeepMind's MuZero agent☆35Updated last year
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆116Updated last year
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆117Updated 11 months ago