bandaidz Goto Github PK

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

bandaidz

binpacking_neural_combinatorial_optimization

Bin Packing Problem using Neural Combinatorial Optimization.

bus-trajectories-classification

KNN classifier with DTW and LCSS algorithms

demos

flow

Computational framework for reinforcement learning in traffic control

javaguide

「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

learning-to-communicate-pytorch

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

mivecc_with_drl

This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.

ns-3_c-v2x

Cellular Vehicle-to-Everything (C-V2X) Mode 4 model for ns-3

opencv2x

OMNeT++ V2X simulation framework for ETSI ITS-G5

optimizationofseandeebasedondrl

Optimization of SE and EE based on DRL

py-ransac

python implemetation of RANSAC algorithm with a line/plane fitting example.

pytorch-a3c

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

pytorch-madrl

PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

ransac

随机采样一致性算法，是在Ziv Yaniv的c++实现上重新实现了一次，加了中文注释，修正了一个错误。便于理解算法实现

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resourceallocationreinforcementlearning

intial version

resourceallocationv2x

This project contains MATLAB codes for the paper: L. Liang, G. Y. Li, and W. Xu "Resource allocation for D2D-enabled vehicular communications," IEEE Transactions on Communications, vol. 65, no. 7, pp. 3186-3197, Jul. 2017.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

veins-lte

Veins LTE adds LTE support to Veins.

wifidemo-master

wlandqn

A dqn application for using in wlan