teenspirit-hao Goto Github PK

jssp_ts

Tabu search solver for JSSP

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

learningnote

学习笔记 持续更新......

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maddpg

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

mfrl

Mean Field Multi-Agent Reinforcement Learning

mygraduate

note

have a good day!

notes

学习代码的一些笔记

onjava8

《On Java 8》中文版，又名《Java编程**》 第5版

play-with-data-structures

Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

python-100-days

Python - 100天从新手到大师

pythonlearningnote

Python 进阶学习笔记

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-a3c-1

Simple A3C implementation with pytorch + multiprocessing

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-counterfactual-multi-agent-policy-gradients-coma

pytorch-doc-zh

Pytorch 中文文档

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch-tutorial

Build your neural network easy and fast

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcementlearning

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