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. 1902.00506
  4. Cited By
The Hanabi Challenge: A New Frontier for AI Research
v1v2 (latest)

The Hanabi Challenge: A New Frontier for AI Research

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"

26 / 176 papers shown
Title
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
Rodrigo Canaan
Xianbo Gao
Julian Togelius
Andy Nealen
Stefan Menzel
38
13
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
47
4
0
28 Apr 2020
Learning to cooperate: Emergent communication in multi-agent navigation
Learning to cooperate: Emergent communication in multi-agent navigation
Ivana Kajić
Eser Aygun
Doina Precup
42
28
0
02 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
174
827
0
19 Mar 2020
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLMOffRL
193
225
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 Games
Edward Hughes
Thomas W. Anthony
Tom Eccles
Joel Z Leibo
David Balduzzi
Yoram Bachrach
92
21
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
82
57
0
24 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement
  learning
Social diversity and social preferences in mixed-motive reinforcement learning
Kevin R. McKee
I. Gemp
Brian McWilliams
Edgar A. Duénez-Guzmán
Edward Hughes
Joel Z Leibo
95
85
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 Systems
S. Asghari
Ouyang Yi
A. Nayyar
48
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
85
14
0
16 Jan 2020
Improving Policies via Search in Cooperative Partially Observable Games
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer
Hengyuan Hu
Jakob N. Foerster
Noam Brown
79
78
0
05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu
Jakob N. Foerster
OffRL
92
82
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
73
19
0
01 Dec 2019
Intelligence in Strategic Games
Intelligence in Strategic Games
Pavel Naumov
Yuan Yuan
39
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
28
1
0
12 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay
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
88
59
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
139
254
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
122
439
0
11 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
225
410
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
47
47
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
74
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
61
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
94
149
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
119
569
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
219
1,681
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
278
913
0
06 Jan 2017
Previous
1234