Allie: A UCI compliant chess engine
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Updated
Apr 8, 2021 - C++
Allie: A UCI compliant chess engine
AlphaZero based engine for the game of Go (圍棋/围棋).
MiniZero: An AlphaZero and MuZero Training Framework
The decision-making of multiple vehicles at intersection bases on level-k game and MCTS
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.
A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.
A C++ pytorch implementation of MuZero
Implementation of Deepmind's AlphaZero algorithm with Caffe and C++
[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs
CrazyAra - A Deep Learning UCI-Chess Variant Engine written in C++ 🐦
A chinese chess(Xiangqi, 象棋) engine based on convolution neural network and Monte Carlo tree search which support UCCI protocol.
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
This repository implements the algorithms described in the publication "Continuous Control Monte Carlo Tree Search Informed by Multiple Experts".
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