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#

mcts-agents

Here are 13 public repositories matching this topic...

使用langchain进行任务规划,构建子任务的会话场景资源,通过MCTS任务执行器,来让每个子任务通过在上下文中资源,通过自身反思探索来获取自身对问题的最优答案;这种方式依赖模型的对齐偏好,我们在每种偏好上设计了一个工程框架,来完成自我对不同答案的奖励进行采样策略

  • UpdatedMar 20, 2025
  • Jupyter Notebook

An AI agent developed to play Ms. Pac-Man by adopting a strategy formed by MCTS and a FSM.

  • UpdatedJul 17, 2021
  • C#

MiniMax with Alpha-Beta pruning and Monte-Carlo Tree Search implementations for the board game Hex

  • UpdatedJun 8, 2021
  • Python

This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.

  • UpdatedMay 10, 2024
  • Verilog

A Monte-Carlo Tree Search mathod that enables two agents interact and work together in the game of Pacman Capture the Flag.

  • UpdatedSep 19, 2023
  • Python

Implementation of Puoribor agent

  • UpdatedMar 7, 2023
  • Python

Monte Carlo Tree Search

  • UpdatedJan 28, 2025

An AI agent for the card game Coup that uses ISMCTS.

  • UpdatedAug 28, 2023
  • Python

AI implementation using monte carlo tree search (MCTS) for the Game of Amazons

  • UpdatedOct 13, 2023
  • C++

A Hex board game with a customizable Monte Carlo Tree Search (MCTS) agent with optional leaf parallelization in C++14. Includes a logging functionality for MCTS insights.

  • UpdatedJun 5, 2023
  • C++

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