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DeepMind Lab2D

Nov 13, 2020
Charles Beattie, Thomas K√∂ppe, Edgar A. Du√©√Īez-Guzm√°n, Joel Z. Leibo

* 7 pages, 2 figures 

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Negotiating Team Formation Using Deep Reinforcement Learning

Oct 20, 2020
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

* Artificial Intelligence 288 (2020): 103356 

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Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games

Feb 27, 2020
Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach

* Accepted for publication at AAMAS 2020 

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Social diversity and social preferences in mixed-motive reinforcement learning

Feb 12, 2020
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Du√©√Īez-Guzm√°n, Edward Hughes, Joel Z. Leibo

* Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) 

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Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning

Feb 06, 2020
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Du√©√Īez-Guzm√°n, Edward Hughes, Joel Z. Leibo

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Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors

Jan 25, 2020
Raphael Köster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo

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Options as responses: Grounding behavioural hierarchies in multi-agent RL

Jun 06, 2019
Alexander Sasha Vezhnevets, Yuhuai Wu, Remi Leblond, Joel Z. Leibo

* First two authors contributed equally 

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Interval timing in deep reinforcement learning agents

May 31, 2019
Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo

* 11 pages, 7 figures 

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Learning Reciprocity in Complex Sequential Social Dilemmas

Mar 19, 2019
Tom Eccles, Edward Hughes, J√°nos Kram√°r, Steven Wheelwright, Joel Z. Leibo

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Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research

Mar 11, 2019
Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel

* 16 pages, 2 figures 

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Malthusian Reinforcement Learning

Dec 17, 2018
Joel Z. Leibo, Julien Perolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar Du√©√Īez-Guzm√°n, Peter Sunehag, Iain Dunning, Thore Graepel

* 9 pages, 2 tables, 4 figures 

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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL

Oct 19, 2018
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

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Inequity aversion improves cooperation in intertemporal social dilemmas

Sep 27, 2018
Edward Hughes, Joel Z. Leibo, Matthew G. Phillips, Karl Tuyls, Edgar A. Du√©√Īez-Guzm√°n, Antonio Garc√≠a Casta√Īeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel

* 15 pages, 8 figures 

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Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

Jul 03, 2018
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel

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Unsupervised Predictive Memory in a Goal-Directed Agent

Mar 28, 2018
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matt Botvinick, Demis Hassabis, Timothy Lillicrap

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Kickstarting Deep Reinforcement Learning

Mar 10, 2018
Simon Schmitt, Jonathan J. Hudson, Augustin Zidek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Kuttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami

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Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

Feb 04, 2018
Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio Garc√≠a Casta√Īeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick

* 28 pages, 11 figures 

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Deep Q-learning from Demonstrations

Nov 22, 2017
Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Gabriel Dulac-Arnold, Ian Osband, John Agapiou, Joel Z. Leibo, Audrunas Gruslys

* Published at AAAI 2018. Previously on arxiv as "Learning from Demonstrations for Real World Reinforcement Learning" 

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A multi-agent reinforcement learning model of common-pool resource appropriation

Sep 06, 2017
Julien Perolat, Joel Z. Leibo, Vinicius Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel

* 15 pages, 11 figures 

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Value-Decomposition Networks For Cooperative Multi-Agent Learning

Jun 16, 2017
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel

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DeepMind Lab

Dec 13, 2016
Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus Wainwright, Heinrich K√ľttler, Andrew Lefrancq, Simon Green, V√≠ctor Vald√©s, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King, Demis Hassabis, Shane Legg, Stig Petersen

* 11 pages, 8 figures 

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Using Fast Weights to Attend to the Recent Past

Dec 05, 2016
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu

* Added [Schmidhuber 1993] citation to the last paragraph of the introduction. Fixed typo appendix A.1 uniform initialization to 1/\sqrt{H} 

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View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation

Jun 05, 2016
Joel Z. Leibo, Qianli Liao, Winrich Freiwald, Fabio Anselmi, Tomaso Poggio

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How Important is Weight Symmetry in Backpropagation?

Feb 04, 2016
Qianli Liao, Joel Z. Leibo, Tomaso Poggio

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Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation

Dec 28, 2015
Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis

* 13 pages, 4 figures 

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Unsupervised learning of clutter-resistant visual representations from natural videos

Apr 24, 2015
Qianli Liao, Joel Z. Leibo, Tomaso Poggio

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Unsupervised Learning of Invariant Representations in Hierarchical Architectures

Mar 11, 2014
Fabio Anselmi, Joel Z. Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso Poggio

* 23 pages, 10 figures. November 21 2013: Added acknowledgment of NSF funding. No other changes. December 18 (2013): Fixed a figure. January 10 (2014): Fixed a figure and some math in SI. March 10 2014: modified abstract and implementation section (main and SI); added a paragraph about sample complexity in SI 

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