A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
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Updated
Dec 17, 2025
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
Experimental scenario analysis for real-life events forecasting with Codex or Claude
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombination, and Refinement, expanding the search space and escaping local optima. On SWE-bench Verified, it achieves SOTA performance
A student implementation of Alpha Go Zero
Visualization of MCTS algorithm applied to Tic-tac-toe.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
MCP-native security automation workbench (SDK + CLI + MCP) — authorized testing + static AI/MCP attack-surface self-audit to SARIF / GitHub Code Scanning
A pytorch tutorial for DRL(Deep Reinforcement Learning)
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
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