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Graph Neural Network Reinforcement Learning for Autonomous
  Mobility-on-Demand Systems

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

23 April 2021
Daniele Gammelli
Kaidi Yang
James Harrison
Filipe Rodrigues
Francisco Câmara Pereira
Marco Pavone
    GNN
ArXivPDFHTML

Papers citing "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems"

8 / 8 papers shown
Title
Evading Community Detection via Counterfactual Neighborhood Search
Evading Community Detection via Counterfactual Neighborhood Search
Andrea Bernini
Fabrizio Silvestri
Gabriele Tolomei
BDL
30
1
0
13 Oct 2023
Learning to Control Autonomous Fleets from Observation via Offline
  Reinforcement Learning
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Carolin Schmidt
Daniele Gammelli
Francisco Câmara Pereira
Filipe Rodrigues
OffRL
14
4
0
28 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Malintha Fernando
Ransalu Senanayake
Heeyoul Choi
Martin Swany
37
4
0
14 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility
  on Demand Systems
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Tobias Enders
James Harrison
Marco Pavone
Maximilian Schiffer
36
23
0
14 Dec 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by
  Gumbel Sinkhorn Network
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
Tianqi Shen
Hong Zhang
Ding Yuan
Jiaping Xiao
Yifan Yang
AI4CE
30
1
0
23 Oct 2021
Hierarchical Representations and Explicit Memory: Learning Effective
  Navigation Policies on 3D Scene Graphs using Graph Neural Networks
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks
Zachary Ravichandran
Lisa Peng
Nathan Hughes
J. D. Griffith
Luca Carlone
37
68
0
02 Aug 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
1