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The Hanabi Challenge: A New Frontier for AI Research
v1v2 (latest)

The Hanabi Challenge: A New Frontier for AI Research

Artificial Intelligence (AI), 2019
1 February 2019
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
H. F. Song
Emilio Parisotto
Vincent Dumoulin
Subhodeep Moitra
Edward Hughes
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "The Hanabi Challenge: A New Frontier for AI Research"

44 / 194 papers shown
Title
Emergent Communication under Competition
Emergent Communication under CompetitionAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Michael Noukhovitch
Travis LaCroix
Angeliki Lazaridou
Aaron Courville
185
28
0
25 Jan 2021
Theory of Mind for Deep Reinforcement Learning in Hanabi
Theory of Mind for Deep Reinforcement Learning in Hanabi
Andrew Fuchs
Michael Walton
Theresa Chadwick
Doug Lange
127
13
0
22 Jan 2021
Open Problems in Cooperative AI
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
323
227
0
15 Dec 2020
Applied Machine Learning for Games: A Graduate School Course
Applied Machine Learning for Games: A Graduate School CourseAAAI Conference on Artificial Intelligence (AAAI), 2020
Yilei Zeng
Aayush Shah
Jameson Thai
M. Zyda
AI4CE
185
4
0
30 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the
  Hessian
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the HessianNeural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Luke Metz
Cinjon Resnick
Hengyuan Hu
Adam Lerer
Alistair Letcher
A. Peysakhovich
Aldo Pacchiano
Jakob N. Foerster
153
25
0
12 Nov 2020
Watch-And-Help: A Challenge for Social Perception and Human-AI
  Collaboration
Watch-And-Help: A Challenge for Social Perception and Human-AI CollaborationInternational Conference on Learning Representations (ICLR), 2020
Xavier Puig
Tianmin Shu
Shuang Li
Zilin Wang
Yuan-Hong Liao
J. Tenenbaum
Sanja Fidler
Antonio Torralba
LM&Ro
297
155
0
19 Oct 2020
Prioritized Level Replay
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
370
188
0
08 Oct 2020
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
M. Kunda
Irina Rabkina
105
4
0
30 Sep 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
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
505
355
0
30 Sep 2020
Learning to Play against Any Mixture of Opponents
Learning to Play against Any Mixture of Opponents
Max O. Smith
Thomas W. Anthony
Yongzhao Wang
Michael P. Wellman
OffRL
100
10
0
29 Sep 2020
Multiplayer Support for the Arcade Learning Environment
Multiplayer Support for the Arcade Learning Environment
J. K. Terry
Benjamin Black
Luis Santos
155
17
0
20 Sep 2020
The Curse of Shared Knowledge: Recursive Belief Reasoning in a Coordination Game with Imperfect Information
The Curse of Shared Knowledge: Recursive Belief Reasoning in a Coordination Game with Imperfect Information
Thomas Bolander
R. Engelhardt
Thomas S. Nicolet
97
1
0
20 Aug 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect
  Information
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian
Qucheng Gong
Tina Jiang
309
22
0
14 Aug 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free
  learning
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
266
59
0
18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
307
294
0
14 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas W. Anthony
Tom Eccles
Andrea Tacchetti
János Kramár
I. Gemp
...
Richard Everett
Roman Werpachowski
Satinder Singh
T. Graepel
Yoram Bachrach
232
44
0
08 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
365
227
0
03 Jun 2020
Towards the Role of Theory of Mind in Explanation
Towards the Role of Theory of Mind in Explanation
Maayan Shvo
Toryn Q. Klassen
Sheila A. McIlraith
142
29
0
06 May 2020
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in HanabiIEEE Transactions on Games (IEEE Trans. Games), 2020
Rodrigo Canaan
Xianbo Gao
Julian Togelius
Andy Nealen
Stefan Menzel
250
16
0
28 Apr 2020
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
Rodrigo Canaan
Xianbo Gao
Youjin Chung
Julian Togelius
Andy Nealen
Stefan Menzel
125
4
0
28 Apr 2020
Learning to cooperate: Emergent communication in multi-agent navigation
Learning to cooperate: Emergent communication in multi-agent navigationAnnual Meeting of the Cognitive Science Society (CogSci), 2020
Ivana Kajić
Eser Aygun
Doina Precup
101
29
0
02 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningJournal of machine learning research (JMLR), 2020
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
420
1,102
0
19 Mar 2020
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot CoordinationInternational Conference on Machine Learning (ICML), 2020
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLMOffRL
443
255
0
06 Mar 2020
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum GamesAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Edward Hughes
Thomas W. Anthony
Tom Eccles
Joel Z Leibo
David Balduzzi
Yoram Bachrach
210
23
0
27 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the
  World of AI
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
S. Risi
Mike Preuss
122
60
0
24 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement
  learning
Social diversity and social preferences in mixed-motive reinforcement learningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Kevin R. McKee
I. Gemp
Brian McWilliams
Edgar A. Duénez-Guzmán
Edward Hughes
Joel Z Leibo
203
90
0
06 Feb 2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent
  Dynamical Systems
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical SystemsConference on Uncertainty in Artificial Intelligence (UAI), 2020
S. Asghari
Ouyang Yi
A. Nayyar
203
11
0
27 Jan 2020
Adversarially Guided Self-Play for Adopting Social Conventions
Adversarially Guided Self-Play for Adopting Social Conventions
Mycal Tucker
Yilun Zhou
J. Shah
145
16
0
16 Jan 2020
Improving Policies via Search in Cooperative Partially Observable Games
Improving Policies via Search in Cooperative Partially Observable GamesAAAI Conference on Artificial Intelligence (AAAI), 2019
Adam Lerer
Hengyuan Hu
Jakob N. Foerster
Noam Brown
180
84
0
05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Hengyuan Hu
Jakob N. Foerster
OffRL
217
86
0
04 Dec 2019
Interactive AI with a Theory of Mind
Interactive AI with a Theory of Mind
M. Çelikok
Tomi Peltola
Pedram Daee
Samuel Kaski
134
22
0
01 Dec 2019
Intelligence in Strategic Games
Intelligence in Strategic GamesJournal of Artificial Intelligence Research (JAIR), 2019
Pavel Naumov
Yuan Yuan
125
9
0
16 Oct 2019
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning
  with Differentiable Communication
Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication
Bowen Jing
William Yin
46
1
0
12 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay
No Press Diplomacy: Modeling Multi-Agent GameplayNeural Information Processing Systems (NeurIPS), 2019
Philip Paquette
Yuchen Lu
Steven Bocco
Max O. Smith
Satya Ortiz-Gagné
Jonathan K. Kummerfeld
Satinder Singh
Joelle Pineau
Aaron Courville
166
63
0
04 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot
Edward Lockhart
Jean-Baptiste Lespiau
V. Zambaldi
Satyaki Upadhyay
...
Julian Schrittwieser
Thomas W. Anthony
Edward Hughes
Ivo Danihelka
Jonah Ryan-Davis
OffRL
301
277
0
26 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
572
527
0
11 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning EnvironmentAAAI 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
367
461
0
25 Jul 2019
Diverse Agents for Ad-Hoc Cooperation in Hanabi
Diverse Agents for Ad-Hoc Cooperation in Hanabi
Rodrigo Canaan
Julian Togelius
Andy Nealen
Stefan Menzel
130
49
0
08 Jul 2019
Neural Replicator Dynamics
Neural Replicator Dynamics
Daniel Hennes
Dustin Morrill
Shayegan Omidshafiei
Rémi Munos
Julien Perolat
...
A. Gruslys
Jean-Baptiste Lespiau
Paavo Parmas
Edgar A. Duénez-Guzmán
K. Tuyls
275
16
0
01 Jun 2019
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi
J. Goodman
149
14
0
16 Feb 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
H. F. Song
Edward Hughes
Neil Burch
Iain Dunning
Shimon Whiteson
M. Botvinick
Michael Bowling
247
157
0
04 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
273
637
0
12 Oct 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
487
1,852
0
30 Mar 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
544
959
0
06 Jan 2017
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