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1902.07151
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Emergent Coordination Through Competition
19 February 2019
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
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Papers citing
"Emergent Coordination Through Competition"
41 / 91 papers shown
Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
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Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
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Wenhao Li
Xiangfeng Wang
Bo Jin
Junjie Sheng
H. Zha
366
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0
21 Feb 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Conference on Robot Learning (CoRL), 2021
Wilko Schwarting
Tim Seyde
Igor Gilitschenski
Lucas Liebenwein
Ryan M Sander
S. Karaman
Daniela Rus
BDL
187
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19 Feb 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Yaodong Yang
Jun Luo
Ying Wen
Oliver Slumbers
D. Graves
H. Ammar
Jun Wang
Matthew E. Taylor
175
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0
15 Feb 2021
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Federico Cacciamani
A. Celli
Marco Ciccone
N. Gatti
114
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0
09 Feb 2021
Inductive Biases for Deep Learning of Higher-Level Cognition
Proceedings of the Royal Society A (Proc. R. Soc. A), 2020
Anirudh Goyal
Yoshua Bengio
AI4CE
502
419
0
30 Nov 2020
Emergent Road Rules In Multi-Agent Driving Environments
International Conference on Learning Representations (ICLR), 2020
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
150
14
0
21 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Tanmay Gangwani
Jian Peng
Yuanshuo Zhou
180
12
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05 Nov 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry
Benjamin Black
Nathaniel Grammel
Mario Jayakumar
Ananth Hari
...
Caroline Horsch
Clemens Dieffendahl
Niall L. Williams
Yashas Lokesh
Praveen Ravi
OffRL
585
369
0
30 Sep 2020
Efficient Competitive Self-Play Policy Optimization
Yuanyi Zhong
Yuanshuo Zhou
Jian Peng
98
2
0
13 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
M. Berk Mirza
Andrew Jaegle
Jonathan J. Hunt
A. Guez
S. Tunyasuvunakool
...
Peter Karkus
S. Racanière
Lars Buesing
Timothy Lillicrap
N. Heess
AI4CE
145
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0
11 Sep 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDL
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399
17
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11 Aug 2020
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
494
464
0
22 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas W. Anthony
Tom Eccles
Andrea Tacchetti
János Kramár
I. Gemp
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Richard Everett
Roman Werpachowski
Satinder Singh
T. Graepel
Yoram Bachrach
316
45
0
08 Jun 2020
Navigating the Landscape of Multiplayer Games
Shayegan Omidshafiei
K. Tuyls
Wojciech M. Czarnecki
Francisco C. Santos
Mark Rowland
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Paul Muller
Julien Perolat
Bart De Vylder
A. Gruslys
Rémi Munos
159
2
0
04 May 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Neural Information Processing Systems (NeurIPS), 2020
Bei Peng
Tabish Rashid
Christian Schroeder de Witt
Pierre-Alexandre Kamienny
Juil Sock
Wendelin Bohmer
Shimon Whiteson
423
328
0
14 Mar 2020
Cluster-Based Social Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Mahak Goindani
Jennifer Neville
GNN
OffRL
141
5
0
02 Mar 2020
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Edward Hughes
Thomas W. Anthony
Tom Eccles
Joel Z Leibo
David Balduzzi
Yoram Bachrach
235
23
0
27 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
S. Risi
Mike Preuss
149
60
0
24 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang
M. Everett
Jonathan P. How
133
94
0
16 Feb 2020
Intrinsic Motivation for Encouraging Synergistic Behavior
International Conference on Learning Representations (ICLR), 2020
Rohan Chitnis
Shubham Tulsiani
Saurabh Gupta
Abhinav Gupta
147
28
0
12 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
OffRL
456
96
0
06 Feb 2020
Effective Diversity in Population Based Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
392
179
0
03 Feb 2020
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
A. Celli
Marco Ciccone
Raffaele Bongo
N. Gatti
108
13
0
16 Dec 2019
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Jiachen Yang
Igor Borovikov
H. Zha
256
94
0
07 Dec 2019
Visual Hide and Seek
IEEE Symposium on Artificial Life (ALIFE), 2019
Boyuan Chen
Shuran Song
Hod Lipson
Carl Vondrick
173
23
0
15 Oct 2019
A Generalized Training Approach for Multiagent Learning
International Conference on Learning Representations (ICLR), 2019
Paul Muller
Shayegan Omidshafiei
Mark Rowland
K. Tuyls
Julien Perolat
...
Zhe Wang
Guy Lever
N. Heess
T. Graepel
Rémi Munos
170
105
0
27 Sep 2019
α
α
α^α
α
α
-Rank: Practically Scaling
α
α
α
-Rank through Stochastic Optimisation
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Yaodong Yang
Rasul Tutunov
Phu Sakulwongtana
Haitham Bou-Ammar
383
21
0
25 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula
International Conference on Learning Representations (ICLR), 2019
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
276
726
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17 Sep 2019
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication
Bowen Jing
William Yin
55
1
0
12 Sep 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
Autonomous Agents and Multi-Agent Systems (AAMAS), 2019
Roxana Rădulescu
Patrick Mannion
D. Roijers
A. Nowé
214
170
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06 Sep 2019
Universal Policies to Learn Them All
Hassam Sheikh
Ladislau Bölöni
OffRL
59
1
0
24 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
AAAI Conference on Artificial Intelligence (AAAI), 2019
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
395
470
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25 Jul 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
Qing Wang
Jiechao Xiong
Lei Han
Meng Fang
Xinghai Sun
Zhuobin Zheng
Yang Liu
Zhengyou Zhang
140
4
0
20 Jul 2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
International Conference on Machine Learning (ICML), 2019
Shauharda Khadka
Somdeb Majumdar
Santiago Miret
Stephen McAleer
Kagan Tumer
261
66
0
18 Jun 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
AAAI Conference on Artificial Intelligence (AAAI), 2019
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
531
34
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17 May 2019
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
383
136
0
15 May 2019
α
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α
-Rank: Multi-Agent Evaluation by Evolution
Scientific Reports (Sci Rep), 2019
Shayegan Omidshafiei
Christos H. Papadimitriou
Georgios Piliouras
K. Tuyls
Mark Rowland
Jean-Baptiste Lespiau
Wojciech M. Czarnecki
Marc Lanctot
Julien Perolat
Rémi Munos
359
133
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04 Mar 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
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302
646
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CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
278
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13 Sep 2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
Hassam Sheikh
Ladislau Bölöni
147
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12 Sep 2018
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