Joel Z. Leibo

According to our database1, Joel Z. Leibo authored at least 41 papers between 2011 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL.
CoRR, 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.
CoRR, 2018

Emergent Communication through Negotiation.
CoRR, 2018

Unsupervised Predictive Memory in a Goal-Directed Agent.
CoRR, 2018

Inequity aversion resolves intertemporal social dilemmas.
CoRR, 2018

A Generalised Method for Empirical Game Theoretic Analysis.
CoRR, 2018

Kickstarting Deep Reinforcement Learning.
CoRR, 2018

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents.
CoRR, 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
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
CoRR, 2017

Symmetric Decomposition of Asymmetric Games.
CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.
CoRR, 2017

A multi-agent reinforcement learning model of common-pool resource appropriation.
CoRR, 2017

Multi-agent Reinforcement Learning in Sequential Social Dilemmas.
CoRR, 2017

Learning from Demonstrations for Real World Reinforcement Learning.
CoRR, 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

Learning to reinforcement learn.
CoRR, 2016

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation.
CoRR, 2016

Reinforcement Learning with Unsupervised Auxiliary Tasks.
CoRR, 2016

Model-Free Episodic Control.
CoRR, 2016

DeepMind Lab.
CoRR, 2016

Using Fast Weights to Attend to the Recent Past.
CoRR, 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

How Important is Weight Symmetry in Backpropagation?
CoRR, 2015

Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation.
CoRR, 2015

2014
Unsupervised learning of clutter-resistant visual representations from natural videos.
CoRR, 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

Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
CoRR, 2013

Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
CoRR, 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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