wangww775 Goto Github PK

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能

convolutional-neural-network

A Convolutional Neural Network (CNN) to classify CRFAR10 Dataset using Pytorch.

gym-continuousdoubleauction

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

lx-music-desktop

一个基于 electron 的音乐软件

maddpg_torch

The code for maddpg using pytorch

marl-algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

marl_auctions

solving-auctions-using-marl

mfrl

Mean Field Multi-Agent Reinforcement Learning

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.

mpc

SELF STUDY OF MPC

mpc-1

A software pipeline using the Model Predictive Control method to drive a car around a virtual track.

platooning-demonstrator

A Platooning demonstrator consisting of a convoy of 1/10 scale RC cars. Deep Learning and Computer Vision concepts utilized and system implemented on the Jetson Nano.

pve-mcc_for_unsignalized_intersection

Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future smart cities, this project proposed a Progressive Value-expectation Estimation Multi-agent Cooperative Control (PVE-MCC) algorithm based on reinforcement learning. The algorithm takes the intelligent networked vehicles as the research object and designed the reward function for the optimization objective from the three aspects of traffic efficiency, safety, and comfort.

pytorch-maddpg

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

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

torchmarl

pytorch实现的一些MARL算法

traffic-intersection-simulation-with-turns

A simulation developed from scratch using Pygame to simulate the movement of vehicles across a traffic intersection having traffic lights with a timer. Additional features such as turning vehicles and random green signal time added to existing basic simulation to take it closer to real-life scenarios.

weekly-report