Stars
implementation of a simple autonomous path tracking framework
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A minimalist environment for decision-making in autonomous driving
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on…
multi-threading and multi-processing implementation of deep RL algorithms
Master thesis Data Science BGSE - Reinforcement Learning applied to Transport
Control Traffic lights intelligently with Reinforcement Learning!
Deep Reinforcement Learning based traffic-control
This is a Machine Learning project made by myself, containing several algorithms from the Reinforcement Learning world (DQN, A2C, PPO) with Single and Multi-Agent approaches, to try and minimize wa…
Reinforcement learning for traffic light control.
Traffic signs classification using CNN
CoOP: V2V-based Cooperative Overtaking for Platoons on Freeways
This is a multi agent reinforcement learning system using SUMO for large scale traffic light control
Distributed Deep Reinforcement Learning Traffic Signal Control
SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)
Open-source simulator for autonomous driving research.