ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.09202
  4. Cited By
Graph Convolutional Reinforcement Learning

Graph Convolutional Reinforcement Learning

22 October 2018
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
    GNN
ArXivPDFHTML

Papers citing "Graph Convolutional Reinforcement Learning"

28 / 28 papers shown
Title
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Wei Qiao
Yebo Feng
Teng Li
Zijian Zhang
Zhengzi Xu
Zhuo Ma
Yulong Shen
85
0
0
23 Oct 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
83
3
0
17 Oct 2024
The Bandit Whisperer: Communication Learning for Restless Bandits
The Bandit Whisperer: Communication Learning for Restless Bandits
Yunfan Zhao
Tonghan Wang
Dheeraj M. Nagaraj
Aparna Taneja
Milind Tambe
92
6
0
11 Aug 2024
The Emergence of Individuality
The Emergence of Individuality
Jiechuan Jiang
Zongqing Lu
47
38
0
10 Jun 2020
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal
Sumit Kumar
Katia Sycara
AI4CE
59
118
0
04 Jun 2019
Value Propagation for Decentralized Networked Deep Multi-agent
  Reinforcement Learning
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu
Shie Mannor
Huan Xu
Yuan Qi
Le Song
Junwu Xiong
36
44
0
27 Jan 2019
Deep Multi-Agent Reinforcement Learning with Relevance Graphs
Deep Multi-Agent Reinforcement Learning with Relevance Graphs
Aleksandra Malysheva
Tegg Taekyong Sung
Chae-Bong Sohn
D. Kudenko
A. Shpilman
50
44
0
30 Nov 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
101
383
0
26 Oct 2018
Relational Forward Models for Multi-Agent Learning
Relational Forward Models for Multi-Agent Learning
Andrea Tacchetti
H. F. Song
P. Mediano
V. Zambaldi
Neil C. Rabinowitz
T. Graepel
M. Botvinick
Peter W. Battaglia
AI4CE
68
79
0
28 Sep 2018
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
146
220
0
05 Jun 2018
Learning Attentional Communication for Multi-Agent Cooperation
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang
Zongqing Lu
60
485
0
20 May 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
68
587
0
23 Feb 2018
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial
  Collective Intelligence
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence
Lianmin Zheng
Jiacheng Yang
Han Cai
Weinan Zhang
Jun Wang
Yong Yu
50
211
0
02 Dec 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
436
20,089
0
30 Oct 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
94
237
0
19 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
644
130,942
0
12 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
136
4,468
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
105
2,072
0
24 May 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level
  Coordination in Learning to Play StarCraft Combat Games
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng
Ying Wen
Yaodong Yang
Quan Yuan
Zhenkun Tang
Haitao Long
Jun Wang
62
335
0
29 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
458
14,264
0
02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
516
1,407
0
01 Dec 2016
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
96
833
0
11 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
587
28,999
0
09 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
206
1,144
0
25 May 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
124
2,151
0
17 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
203
3,345
0
30 Sep 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
152
1,586
0
16 Jun 2015
1