Joel Z. Leibo

According to our database1, Joel Z. Leibo authored at least 17 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Inequity aversion improves cooperation in intertemporal social dilemmas.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Generalised Method for Empirical Game Theoretic Analysis.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deep Q-learning From Demonstrations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A multi-agent reinforcement learning model of common-pool resource appropriation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to reinforcement learn.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Multi-agent Reinforcement Learning in Sequential Social Dilemmas.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Unsupervised learning of invariant representations.
Theor. Comput. Sci., 2016

Using Fast Weights to Attend to the Recent Past.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Invariant representation for blur and down-sampling transformations.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

How Important Is Weight Symmetry in Backpropagation?
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.
PLoS Computational Biology, 2015

2014
Subtasks of Unconstrained Face Recognition.
Proceedings of the VISAPP 2014, 2014

2013
Throwing Down the Visual Intelligence Gauntlet.
Proceedings of the Machine Learning for Computer Vision, 2013

Learning invariant representations and applications to face verification.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning and disrupting invariance in visual recognition with a temporal association rule.
Front. Comput. Neurosci., 2012

2011
Why The Brain Separates Face Recognition From Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011


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