ImparaAI / checkersLinks
Library for playing a standard game of checkers/draughts
☆18Updated 5 years ago
Alternatives and similar repositories for checkers
Users that are interested in checkers are comparing it to the libraries listed below
Sorting:
- ReconChess python implementation☆41Updated 3 years ago
- An environment of the board game Go using OpenAI's Gym API☆177Updated 3 years ago
- A simple chess environment for openai/gym☆164Updated last year
- Selfplay In MultiPlayer Environments☆328Updated last year
- The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with☆230Updated 2 years ago
- Pytorch Implementation of MuZero☆352Updated 2 years ago
- A structured implementation of MuZero☆206Updated 3 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 4 years ago
- The RL discord wiki☆258Updated 5 years ago
- A simple implementation of MuZero algorithm for connect4 game☆96Updated 5 years ago
- A simple stochastic OpenAI environment for training RL agents☆88Updated 3 years ago
- Solving board games like Connect4 using Deep Reinforcement Learning☆33Updated 3 years ago
- PyTorch implementation of AlphaZero Connect from scratch (with results)☆85Updated 6 years ago
- Supervised and RL Models for No Press Diplomacy☆73Updated 2 months ago
- A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.☆87Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 6 years ago
- Open source collection of Reinforcement Learning Environments.☆75Updated 2 years ago
- ☆39Updated 5 months ago
- Library for running a Monte Carlo tree search, either traditionally or with expert policies☆127Updated last year
- A PyTorch library for building deep reinforcement learning agents.☆654Updated last year
- A Python package that provides a simple framework for working with Options in Reinforcement Learning.☆22Updated 11 months ago
- An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-poo…☆22Updated 5 years ago
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆119Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆64Updated last year
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆121Updated last year
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆375Updated 2 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆281Updated 5 months ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆164Updated 2 years ago