stevezp009

stevezp009's Stars

• Qiao919/ThesisTemplate-TUMA

  Master Thesis Template

  Language:TeX3

• TUM-VT/FleetPy

  Simulation framework to model and control the tasks of vehicle fleets (routing, user-assignment, charging, ...)

  Language:Python6227

• kk-55/tf-gnn-example-for-rllib

  This repo shows an example how TF-GNN can be incorporated for graph (space) use cases in RLlib

  Language:Python71

• PKU-RL/DGN

  DGN Code

  Language:Python33488

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k220

• smorad/graph-conv-memory-paper

  Graph convolutional memory for reinforcement learning

  Language:Python203

• yufeiwang63/RLlab

  pytorch implementation of DQN, NAF, DDPG

  Language:Python132

• lcodeca/rllibsumoutils

  Python3 library able to connect the RLLIB framework with the SUMO simulator.

  Language:Python2710

• SunQingYun1996/Graph-Reinforcement-Learning-Papers

  A curated list of graph reinforcement learning papers.

  6413

• lmy1997/tuxiaoshi

  Language:Python17815

• flow-project/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python1.1k372

• BingLiHanShuang/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python72

• LucasAlegre/sumo-rl

  Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

  Language:Python693191

• AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control

  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.

  Language:Jupyter Notebook402145

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k719

• NU-IDEAS-Lab/patrolling_zoo

  Language:Python42

• vishwajithsandaru/marl_sumo_simulation

  Traffic light optimization through MARL

  Language:Python2

• mAzeems/Adaptive-Traffic-Signal-Control-of-Autonomous-Vehicles-using-MARL

  Adaptive Traffic Signal Control of Autonomous Vehicles using Multi-Agent Reinforcement Learning techniques and SUMO tool for vehicular simulation. Implemented algorithm: Independent Advantageous Actor-Critic (IA2C)

  Language:Python27

• mahmoudtaouti/RL_Highway_Merge

  applying multi-agent reinforcement learning for highway-merging autonomous vehicles

  Language:Python401

• RoryCoulson/sumo-ev-marl

  Language:Python51

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.8k5k

• SSX15/sumogqmix

  marl for traffic control

  Language:Python6

• DongChen06/MARL_CAVs

  MARL for Autonomous Vehicles

  Language:Python23744

• wingsweihua/gym_cityflow

  Adds CityFlow to Gym

  Language:Python2815

• Jacklinkk/Graph_CAVs

  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 our previous repository TorchGRL.

  Language:Python545

• DanieleGammelli/gnn-rl-for-amod

  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand

  Language:Python6817

• TimeBreaker/MARL-papers-with-code

  Multi-Agent Reinforcement Learning (MARL) papers with code

  29137

• huahuaedi/MARL_in_CAV_control_review

  Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects

  262

• DaRL-LibSignal/LibSignal

  Language:Python10620

• Guojyjy/CoTV

  Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning

  Language:Python5310