tanliyon / gym-xiangqi
This repo sets up the environment to play Xiang Qi (chinese chess) following the OpenAI Gym framework.
☆32Updated last year
Related projects: ⓘ
- An environment of the board game Go using OpenAI's Gym API☆164Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- This project is implementation code of AlphaStar☆186Updated 8 months ago
- An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku☆185Updated 4 years ago
- Pytorch Implementation of MuZero☆335Updated last year
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆28Updated 3 years ago
- An OpenAI Gym environment for the Flappy Bird game☆111Updated 2 years ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆227Updated 2 months ago
- A tool to automate installing Atari ROMs for the Arcade Learning Environment☆76Updated last year
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆22Updated 5 months ago
- Python and R tutorial for RLCard in Jupyter Notebook☆81Updated 2 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆199Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆71Updated 5 years ago
- Simple, readable, yet full-featured implementation of PPO in Pytorch☆44Updated 2 years ago
- (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play …☆307Updated last year
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆153Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆148Updated last year
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆48Updated 3 years ago
- ☆91Updated 3 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆69Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆92Updated 4 years ago
- Experiments with reinforcement learning and recurrent neural networks☆111Updated 10 months ago
- very easy implementation of dueling DQN in pytorch☆68Updated last year
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆24Updated 2 years ago
- StarCraft 2 Imitation Learning☆29Updated 3 years ago
- Qiita投稿用に作成したAgent57(強化学習)の実装コードです。☆45Updated last year
- A novel parallel UCT algorithm with linear speedup and negligible performance loss.☆106Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆99Updated 7 months ago
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆40Updated 3 years ago