wumin12 Goto Github PK

classwork

my classwork

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

drl

Repository for codes of 'Deep Reinforcement Learning'

drl-sim

Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

federated-learning-faq

fuzzy-c-means

Fuzzy c-means Clustering

githubtest

test

gittest

test git in ieda

gopl-zh.github.com

Go语言圣经中文版(只接收PR, Issue请提交到golang-china/gopl-zh)

ieee-internet-of-things-journal

Small Profits and Quick Returns: An Incentive Mechanism Design for Crowdsourcing under Continuous Platform Competition,

javaweb-project

初学JAVA-WEB开发的小项目:sparkling_heart:

jsonview-for-chrome

JSONView for Chrome

learning_java

my java learning code

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

mobile_crowd_sensing

Use multi-agent ReinForcement Learning on mobile crowd sensing.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl_code

It's a reinforce learning for gym

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

spinningup

An educational resource to help anyone learn deep reinforcement learning.

ssm_parent

ssm分模块开发的例子

stimulation

my numerical evaluation of paper "A strategy-proof online incentive budget feasible mechanism design for crowdsensing with time discounting value"