Cooperative AI Workshop
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NeurIPS 2020

Best Paper Awards

Congratulations to the winners of the Best Paper Awards!

  • Poster #1 - Too many cooks: Bayesian inference for coordinating multi-agent collaboration (Rose Wang, Sarah Wu, James Evans, Joshua Tenenbaum, David Parkes and Max Kleiman-Weiner) (paper)

  • Poster #2 - Learning Social Learning (Kamal Ndousse, Douglas Eck, Sergey Levine and Natasha Jaques) (paper)

  • Poster #3 - Benefits of Assistance over Reward Learning (Rohin Shah, Pedro Freire, Neel Alex, Rachel Freedman, Dmitrii Krasheninnikov, Lawrence Chan, Michael Dennis, Pieter Abbeel, Anca Dragan and Stuart Russell) (paper)

  • Poster #4 - Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration (Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Josh Tenenbaum, Sanja Fidler and Antonio Torralba) (paper)

Accepted Papers

Thank you to everyone for submitting a paper to the workshop. We're very pleased to confirm the list of accepted papers:

  • Poster #5 - No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium (Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti) (paper)

  • Poster #6 - Human-Agent Cooperation in Bridge Bidding (Edward Lockhart, Tom Eccles, Nolan Bard, Neil Burch and Sebastian Borgeaud) (paper)

  • Poster #7 - Learning to Design Fair and Private Voting Rules (Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi and Lirong Xia) (paper)

  • Poster #8 - Multi-Agent Coordination through Signal Mediated Strategies (Federico Cacciamani, Andrea Celli, Marco Ciccone and Nicola Gatti) (paper)

  • Poster #9 - D3C: Reducing the Price of Anarchy in Multi-Agent Learning (Ian Gemp, Kevin McKee, Richard Everett, Edgar Duenez-Guzman, Yoram Bachrach, David Balduzzi and Andrea Tacchetti) (paper)

  • Poster #10 - Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games (Gabriele Farina, Andrea Celli, Nicola Gatti, and Tuomas Sandholm) (paper)

  • Poster #11 - Newton Optimization on Helmholtz Decomposition for Continuous Games (Giorgia Ramponi and Marcello Restelli) (paper)

  • Poster #12 - Competing AI: How competition feedback affects machine learning (Antonio Ginart, Eva Zhang, Yongchan Kwon and James Zou) (paper)

  • Poster #13 - Quantifying Differences in Reward Functions (Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell and Jan Leike) (paper)

  • Poster #14 - Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments (Paul Tylkin, Goran Radanovic and David Parkes) (paper)

  • Poster #15 - Safe Pareto improvements for delegated game playing (Caspar Oesterheld and Vincent Conitzer) (paper)

  • Poster #16 - A Bayesian Account of Measures of Interpretability in Human-AI Interaction (Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David Smith and Subbarao Kambhampati) (paper)

  • Poster #17 - Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond (Gabriele Farina and Tuomas Sandholm) (paper)

  • Poster #18 - Learning Cooperative Solution Concepts From Voting Behavior: A Case Study on the Israeli Knesset (Omer Lev, Wei Lu, Alan Tsang and Yair Zick) (paper)

  • Poster #19 - Multi-Principal Assistance Games: Definition and Collegial Mechanisms (Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell and Stuart Russell) (paper)

  • Poster #20 - `Why didn't you allocate this task to them? 'Negotiation-aware Task Allocation and Contrastive Explanation Generation (Zahra Zahedi, Sailik Sengupta and Subbarao Kambhampati) (paper)

  • Poster #21 - Modeling collaborative work in human computation (David Lee) (paper)

  • Poster #22 - Delegation to autonomous agents promotes cooperation in collective-risk dilemmas (Elias Fernández Domingos, Inês Terrucha, Rémi Suchon, Jelena Grujić, Juan Carlos Burguillo, Francisco C. Santos and Tom Lenaerts) (paper)

  • Poster #23 - Expected Divergence Point of Plans in Ad Hoc Teamwork (William Macke, Reuth Mirsky and Peter Stone) (paper)

  • Poster #24 - DERAIL: Diagnostic Environments for Reward And Imitation Learning (Pedro Freire, Adam Gleave, Sam Toyer and Stuart Russell) (paper)

  • Poster #25 - Human-Level Performance in No-Press Diplomacy via Equilibrium Search (Jonathan Gray, Adam Lerer, Anton Bakhtin and Noam Brown) (paper)

  • Poster #26 - The impacts of known and unknown demonstrator irrationality on reward inference (Lawrence Chan, Andrew Critch and Anca Dragan) (paper)

Reviewers / Acknowledgements

The Workshop Organizers also wish to thank the following collaborators for their assistance with reviewing submitted papers:

  • Thomas Anthony

  • Amos Azaria

  • Yoram Bachrach

  • Kalesha Bullard

  • Neil Burch

  • Micah Carroll

  • Andrea Celli

  • Teddy Collins

  • Vincent Conitzer

  • Allan Dafoe

  • Edgar Duéñez-Guzmán

  • Tom Eccles

  • Richard Everett

  • Sriram Ganapathi Subramanian

  • Ian Gemp

  • Adam Gleave

  • Thore Graepel

  • Gillian Hadfield

  • Noam Hazon

  • Edward Hughes

  • Natasha Jaques

  • Tal Kachman

  • Ivana Kajić

  • Ian Kash

  • Douwe Kiela

  • Raphael Koster

  • Travis LaCroix

  • Kate Larson

  • Joel Leibo

  • Omer Lev

  • Aditya Mahajan

  • Kory Mathewson

  • Tom McGrath

  • Kevin McKee

  • Reshef Meir

  • David Parkes

  • Jay Pavagadhi

  • Aviva Prins

  • Tyrone Strangway

  • Christopher Summerfield

  • Peter Sunehag

  • Long Tran-Thanh

  • Alan Tsang

  • Karl Tuyls

  • Kevin Waugh

  • Laura Weidinger

  • Ari Weinstein

  • Kelvin Xu

  • Yair Zick

Call for Papers

We invite high-quality paper submissions on the following topics (broadly construed, this is not an exhaustive list):


  • Multi-agent learning

  • Agent cooperation

  • Agent communication

  • Resolving commitment problems

  • Agent societies, organizations and institutions

  • Trust and reputation

  • Theory of mind and peer modelling

  • Markets, mechanism design and and economics based cooperation

  • Negotiation and bargaining agents

  • Team formation problems


Accepted papers will be presented during joint virtual poster sessions and be made publicly available as non archival reports, allowing future submissions to archival conferences or journals.

Submissions should be up to eight pages excluding references, acknowledgements, and supplementary material, and should follow NeurIPS format.

The review process will be double-blind to avoid potential conflicts of interests.

Submission Instructions

Please submit your papers through EasyChair via the following link: https://easychair.org/my/conference?conf=coopai2020#


  • Paper Submission Deadline: October 02, 2020 (Midnight Pacific Time)

  • Final Decisions: October 30, 2020