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learn-rl_learn

我的强化学习笔记和学习材料:book: still updating ... ...

learn-rl_notes_and_codes

学习强化学习过程中的笔记和代码

learn-stanford-cs234-notes-zh

斯坦福 cs234 强化学习中文讲义

learn-tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

learn-ucb-cs294-112-notes-zh

UCB CS294-112 深度强化学习中文笔记

mamcts-multi

Multi-agent Monte Carlo Tree Search implementation in C++

maze-mcts_maze

Monte Carlo Tree Search On Maze

maze-monte_carlo_tree_search

Using MCTS for maze navigation

maze-reinforcement-learning-frozen-lake-maze

Using First-visit Monte Carlo method, Q-learning, Sarsa algorithms to solve the Frozen Lake problem

maze-solver

Developed RL algorithms like Q-Learning, Monte Carlo, and Deep Q-Network from scratch and applied them to custom maze environment

mcts

Python Implementations of Monte Carlo Tree Search

mcts-agent-python

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and

mcts-nnet-paper2020

Monte Carlo Tree Search with Reinforcement Learning for Motion Planning

mcts-omok-uct-puct

Omok using MCTS (UCT, PUCT)

mcts-r

Generic, parallel Monte Carlo tree search library

mcts_mpi-gpu

GPU Monte Carlo Tree Search with MPI

ml_implementation

Implementation of Machine Learning Algorithms

neuralheuristicsforsat

neurosat

NeuroSAT: Learning a SAT Solver from Single-Bit Supervision

neurosat-1

PyTorch implementation of NeuroSAT

nsnet

[NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"

paper-cloud-workflow-scheduling-base-on-deep-reinforcement-learning

北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》

paper-vn-maddpg

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

parallel-monte-carlo-tree-search

Monte Carlo Tree Search with UCT with a couple of example games.

pathplannig-via-mcts-multi

基于蒙特卡洛树搜索算法实现多机器人区域覆盖路径规划，并将覆盖结果可视化

pathplanning-ea

Common used path planning algorithms with animations.

py-mcts

Python implementation of Monte Carlo Tree Search

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

reinforcementlearning-algorithms

学习强化学习各个算法，并且实践和应用成具体项目，现已完成：DQN flappy bird

rl_path_optimization_-undergraduate

This is my undergraduate thesis for path optimization in an open, stochastic grid environment using RL methods like E-greedy strategy and Monte Carlo-Temporal Difference Hybrid