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2008.02616
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The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
6 August 2020
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
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Papers citing
"The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning"
25 / 25 papers shown
Title
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Graph Neural Networks for Decentralized Multi-Robot Path Planning
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Amanda Prorok
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No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette
Yuchen Lu
Steven Bocco
Max O. Smith
Satya Ortiz-Gagné
Jonathan K. Kummerfeld
Satinder Singh
Joelle Pineau
Aaron Courville
68
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04 Sep 2019
Graph Policy Gradients for Large Scale Robot Control
Arbaaz Khan
Ekaterina V. Tolstaya
Alejandro Ribeiro
Vijay Kumar
63
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08 Jul 2019
Finding Friend and Foe in Multi-Agent Games
Jack Serrino
Max Kleiman-Weiner
David C. Parkes
J. Tenenbaum
68
61
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05 Jun 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Ekaterina V. Tolstaya
Fernando Gama
James Paulos
George Pappas
Vijay Kumar
Alejandro Ribeiro
GNN
121
173
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25 Mar 2019
A Fleet of Miniature Cars for Experiments in Cooperative Driving
Nicholas Hyldmar
Yijun He
Amanda Prorok
61
60
0
16 Feb 2019
Decentralization of Multiagent Policies by Learning What to Communicate
James Paulos
Steven W. Chen
Daigo Shishika
Vijay Kumar
68
30
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24 Jan 2019
Graph Neural Networks for Learning Robot Team Coordination
Amanda Prorok
GNN
92
12
0
09 May 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
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Alejandro Ribeiro
191
288
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01 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
166
1,677
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30 Mar 2018
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
...
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
GNN
110
1,269
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16 Dec 2017
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Perolat
Joel Z Leibo
V. Zambaldi
Charlie Beattie
K. Tuyls
T. Graepel
80
190
0
20 Jul 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
583
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20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
164
4,520
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
158
2,090
0
24 May 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,500
0
04 Apr 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
152
499
0
17 Mar 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations
Igor Mordatch
Pieter Abbeel
LLMAG
146
704
0
15 Mar 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z Leibo
V. Zambaldi
Marc Lanctot
J. Marecki
T. Graepel
78
612
0
10 Feb 2017
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
545
1,412
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
684
29,183
0
09 Sep 2016
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
234
1,150
0
25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
165
1,614
0
21 May 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
135
3,442
0
08 Jun 2015
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