A pytorch tutorial for DRL(Deep Reinforcement Learning)
UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
利用强化学习、基于蒙特卡洛树搜索的UCT算法解决围棋死活题问题。Inplement improved Reinforcement Learning and UCT algorithms (based on Monte Carlo Tree Search) on Go/Tsumego problems
Oware and Ouril - traditional African Mancala games with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)
Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.
MCTS/UCT search for chess variants
NS-3 based Energy Saving Load Balancing Algorithm
3 dimensional Four in a Row game with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short).
Docker files for connecting the PROST planner with pyRDDLGym.
General N x N x K game with a GUI and AI. Can be used to play Tic Tac Toe or Gomoku. AI uses MiniMax and UCT Monte Carlo Search Tree. Read Guide.pdf.
AI for the game "Connect Four". Available on PyPI.
An ultimate tic tac toe game written in python using PyGame
Omok using MCTS (UCT, PUCT)
Reference implementations for zero-sum game engines. Example engines for Oware, Chess, Checkers, Go, and more. Ideal for learning, testing, or building your own AIs.
A universal code translator based on intermediate representations.
Research chess engine in C++20: GrogrosZero hybrid search (UCT + alpha-beta + quiescence), WDL evaluation, zero-allocation bounded search, raylib analysis GUI
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