gwstudy Goto Github PK

accelerating_automatic_search

Accelerating the Search of Differential and Linear Characteristics with the SAT Method

ai_pyrat

Code and files for implementing Deep Q-Learning with Monte Carlo for an AI in a maze game "PyRat" against a basic enemy (using a greedy algorithm)

alphago-zero-gobang

Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程

alphax-nas

Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

chess_ai-network

Neural Network + Monte Carlo Tree Search powered Chess engine

connect-4

A multi-agent implementation of the game Connect-4 using MCTS, Minimax and Exptimax algorithms.

cryptanalytic-model-extraction

deep-rl-elements

Deep RL algorithm in pytorch

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

densitypeakcluster

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.

example_of_reinforcement_lreaning_by_pytorch

一些利用pytorch编程实现的强化学习例子

fourinlinegame

四子棋人机，目的：测试研究蒙特卡洛搜索树及alpha-beta裁剪算法。

gnn-mcts-tsp

A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem

iboat-pmcts

A Parallel Monte-Carlo Tree Search using multiprocessing and real weather forecasts to address long-term optimal path planning under uncertainty for autonomous sailboat

learn-deep-reinforcement-learning

《深度强化学习：原理与实践》，Code of the book <Deep Reinforcement Learning: Principles and Practices>

learn-deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

learn-dl-berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

learn-drlpytorch-

白话强化学习与PyTorch的学习笔记

learn-marl

多智能体强化学习

learn-maze-solver-using-reinforcement-learning

强化学习求解迷宫问题，Q-learning和监督学习

learn-mcts-1

A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain

learn-reinforcement-learning-practice-zh

强化学习-中文笔记&资源-以python实例为主-由浅入深

learn-reinforcement_learning

[动手学强化学习]系列，基于pytorch。

learn-reinforcement_learning_basic_book

这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

learn-reinforcement_torch_pfrl

真-极简强化学习(基于torch的强化学习框架pfrl)

learn-reinforcementlearning

强化学习教程

learn-reinforcementlearning1

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行