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Too many cooks: Bayesian inference for coordinating multi-agent
  collaboration
v1v2 (latest)

Too many cooks: Bayesian inference for coordinating multi-agent collaboration

Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
26 March 2020
Rose E. Wang
Sarah A. Wu
James A. Evans
J. Tenenbaum
David C. Parkes
Max Kleiman-Weiner
ArXiv (abs)PDFHTML

Papers citing "Too many cooks: Bayesian inference for coordinating multi-agent collaboration"

29 / 29 papers shown
AI Must not be Fully Autonomous
AI Must not be Fully Autonomous
Tosin Adewumi
Lama Alkhaled
Florent Imbert
Hui Han
Nudrat Habib
Karl Löwenmark
134
2
0
31 Jul 2025
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
Implicitly Aligning Humans and Autonomous Agents through Shared Task AbstractionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Stéphane Aroca-Ouellette
Miguel Aroca-Ouellette
Katharina von der Wense
Alessandro Roncone
275
1
0
07 May 2025
Advancing Social Intelligence in AI Agents: Technical Challenges and
  Open Questions
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
Leena Mathur
Paul Pu Liang
Louis-Philippe Morency
LLMAG
302
23
0
17 Apr 2024
Laser Learning Environment: A new environment for coordination-critical
  multi-agent tasks
Laser Learning Environment: A new environment for coordination-critical multi-agent tasks
Yannick Molinghen
Raphael Avalos
Mark Van Achter
A. Nowé
Tom Lenaerts
240
1
0
04 Apr 2024
Diverse Conventions for Human-AI Collaboration
Diverse Conventions for Human-AI CollaborationNeural Information Processing Systems (NeurIPS), 2023
Bidipta Sarkar
Andy Shih
Dorsa Sadigh
316
17
0
24 Oct 2023
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case
  Study on Remediating Math Mistakes
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math MistakesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Rose E. Wang
Qingyang Zhang
Carly Robinson
Susanna Loeb
Dorottya Demszky
451
65
0
16 Oct 2023
Welfare Diplomacy: Benchmarking Language Model Cooperation
Welfare Diplomacy: Benchmarking Language Model Cooperation
Gabriel Mukobi
Hannah Erlebach
Niklas Lauffer
Lewis Hammond
Alan Chan
Jesse Clifton
LM&Ro
414
43
0
13 Oct 2023
RoboChop: Autonomous Framework for Fruit and Vegetable Chopping
  Leveraging Foundational Models
RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models
Atharva Dikshit
Alison Bartsch
Abraham George
A. Farimani
201
12
0
24 Jul 2023
A Review on Machine Theory of Mind
A Review on Machine Theory of Mind
Yuanyuan Mao
Shuang Liu
Pengshuai Zhao
Qin Ni
Xin Lin
Liang He
192
12
0
21 Mar 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-PlayAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
351
33
0
15 Feb 2023
Melting Pot 2.0
Melting Pot 2.0
J. Agapiou
A. Vezhnevets
Edgar A. Duénez-Guzmán
Jayd Matyas
Yiran Mao
...
Sukhdeep Singh
Julia Haas
Igor Mordatch
D. Mobbs
Joel Z Leibo
461
48
0
24 Nov 2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved
  Human-AI Collaboration
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
316
15
0
03 Nov 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
305
29
0
20 Sep 2022
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via
  Best-Response Diversity
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity
Arrasy Rahman
Elliot Fosong
Ignacio Carlucho
Stefano V. Albrecht
393
20
0
28 Jul 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches
Modeling Human Behavior Part I -- Learning and Belief Approaches
Andrew Fuchs
A. Passarella
M. Conti
286
8
0
13 May 2022
A Cognitive Framework for Delegation Between Error-Prone AI and Human
  Agents
A Cognitive Framework for Delegation Between Error-Prone AI and Human AgentsInternational Conference on Smart Computing (SMARTCOMP), 2022
Andrew Fuchs
A. Passarella
M. Conti
290
11
0
06 Apr 2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
Any-Play: An Intrinsic Augmentation for Zero-Shot CoordinationAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Keane Lucas
R. Allen
237
36
0
28 Jan 2022
Conditional Imitation Learning for Multi-Agent Games
Conditional Imitation Learning for Multi-Agent GamesIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2022
Andy Shih
Stefano Ermon
Dorsa Sadigh
301
15
0
05 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking
Autonomous Reinforcement Learning: Formalism and BenchmarkingInternational Conference on Learning Representations (ICLR), 2021
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
272
36
0
17 Dec 2021
Collaborating with Humans without Human Data
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
532
207
0
15 Oct 2021
Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards
Learning Altruistic Behaviours in Reinforcement Learning without External RewardsInternational Conference on Learning Representations (ICLR), 2021
Tim Franzmeyer
Mateusz Malinowski
João F. Henriques
431
10
0
20 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting PotInternational Conference on Machine Learning (ICML), 2021
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
314
134
0
14 Jul 2021
Learning to communicate about shared procedural abstractions
Learning to communicate about shared procedural abstractionsAnnual Meeting of the Cognitive Science Society (CogSci), 2021
William P. McCarthy
Robert D. Hawkins
Haoliang Wang
Cameron Holdaway
Judith E. Fan
250
28
0
30 Jun 2021
Modeling Communication to Coordinate Perspectives in Cooperation
Modeling Communication to Coordinate Perspectives in CooperationAnnual Meeting of the Cognitive Science Society (CogSci), 2021
Stephanie Stacy
Chen-ching Li
Minglu Zhao
Yiling Yun
Qingyi Zhao
Max Kleiman-Weiner
Tao Gao
141
10
0
03 Jun 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
On the Critical Role of Conventions in Adaptive Human-AI CollaborationInternational Conference on Learning Representations (ICLR), 2021
Andy Shih
Arjun Sawhney
J. Kondic
Stefano Ermon
Dorsa Sadigh
272
46
0
07 Apr 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork
Expected Value of Communication for Planning in Ad Hoc TeamworkAAAI Conference on Artificial Intelligence (AAAI), 2021
William Macke
Reuth Mirsky
Peter Stone
221
27
0
01 Mar 2021
Evaluating the Robustness of Collaborative Agents
Evaluating the Robustness of Collaborative AgentsAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
P. Knott
Micah Carroll
Sam Devlin
K. Ciosek
Katja Hofmann
Anca Dragan
Rohin Shah
268
41
0
14 Jan 2021
Efficient Querying for Cooperative Probabilistic Commitments
Efficient Querying for Cooperative Probabilistic CommitmentsAAAI Conference on Artificial Intelligence (AAAI), 2020
Qi Zhang
E. Durfee
Satinder Singh
119
1
0
14 Dec 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
414
18
0
28 Apr 2020
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