[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
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Updated
Jun 26, 2024 - Python
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Unified Reinforcement Learning Framework
支持雀魂、天鳳、麻雀一番街、天月麻將,能夠使用自定義的AI模型實時分析對局並給出建議,內建Mortal AI作為示例。 Supports Majsoul, Tenhou, Riichi City, Amatsuki, with the ability to use custom AI models to analyze games in real time and provide suggestions. Comes with Mortal AI as a built-in example.
Book on basic to intermediate level Python projects
A Japanese (Riichi) Mahjong AI Framework
A deep reinforcement learning bot that plays tetris
BehaviorStudio is a cross-platform behavior trees editor that allows you to create, modify, view and save behavior trees in xml format. Please, see Wiki page for more information!
🎴Learning based AI for playing multi-round Koi-Koi hanafuda card games. Have fun.
A helper client for Riichi City. Using Mortal AI model.
Snake learns to play. A reinforcement learning-based AI that learns to play the classic Snake game autonomously.
🐍 A Snake game AI that learns to play through Deep Q-Learning. Built with PyTorch and Pygame, featuring CUDA acceleration and real-time visualization of the learning process.
Solves ПАСЬЯНС solitaire (both logically, and using computer vision + automated mouse control) as implemented in Exapunks
NautilusChess is a lightweight Python chess bot with a GUI, screen-based move recognition, and Minimax logic. It plays on platforms like Lichess and Chess.com using pixel-level board tracking, and supports external chess engines and opening books.
CS:GO economy strategy AI, AIIDE 2020
Submission to the InformatiCup2021 challenge.
A collection of game AI
A self-playing bot built with NEAT-python for Chrome T-Rex game recreated in pygame
Aimbot/Triggerbot for Quake Live with Tensorflow/Keras
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