wumin12's repositories
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)
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)
mobile_crowd_sensing
Use multi-agent ReinForcement Learning on mobile crowd sensing.
rl_code
It's a reinforce learning for gym
IEEE-Internet-of-Things-Journal
Small Profits and Quick Returns: An Incentive Mechanism Design for Crowdsourcing under Continuous Platform Competition,
spinningup
An educational resource to help anyone learn deep reinforcement learning.
classwork
my classwork
pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
learning_java
my java learning code
easy-rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
gitTest
test git in ieda
githubTest
test
ssm_parent
ssm分模块开发的例子
fuzzy-c-means
Fuzzy c-means Clustering
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).
JSONView-for-Chrome
JSONView for Chrome
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
JAVAWeb-Project
初学JAVA-WEB开发的小项目:sparkling_heart:
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
DRL
Repository for codes of 'Deep Reinforcement Learning'
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Stimulation
my numerical evaluation of paper "A strategy-proof online incentive budget feasible mechanism design for crowdsensing with time discounting value"