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A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Easily train AlphaZero-like agents on any environment you want!
MCTS project for Tetris
A student implementation of Alpha Go Zero
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Visualization of MCTS algorithm applied to Tic-tac-toe.
A pytorch tutorial for DRL(Deep Reinforcement Learning)
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
Research project: create a chess engine using Deep Reinforcement Learning
The decision-making of multiple vehicles at intersection bases on level-k game and MCTS