mcts-agents
Here are 13 public repositories matching this topic...
Sort:Most stars
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
- Updated
Mar 20, 2025 - Jupyter Notebook
An AI agent developed to play Ms. Pac-Man by adopting a strategy formed by MCTS and a FSM.
- Updated
Jul 17, 2021 - C#
MiniMax with Alpha-Beta pruning and Monte-Carlo Tree Search implementations for the board game Hex
- Updated
Jun 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.
- Updated
May 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.
- Updated
Sep 19, 2023 - Python
Monte Carlo Tree Search
- Updated
Jan 28, 2025
Lightweight, extensible, and fair multi- DNN manager for heterogeneous embedded devices.
- Updated
Jul 12, 2023 - Python
AI implementation using monte carlo tree search (MCTS) for the Game of Amazons
- Updated
Oct 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.
- Updated
Jun 5, 2023 - C++
Using reinforcement learning to play games.
- Updated
May 7, 2023 - Python
Tic-tac-toe/"noughts & crosses" written in Clojure (CLI + deps). AI powered by Monte Carlo tree search algorithm
- Updated
Aug 19, 2022 - Clojure
Improve this page
Add a description, image, and links to themcts-agents topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with themcts-agents topic, visit your repo's landing page and select "manage topics."