Abstraction & concepts

Publication

Graph schemas as abstractions for transfer learning, inference, and planning

Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Stannis Zhou, Miguel Lazaro-Gredilla, Dileep George

arXiv

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A Simple Approach for State-Action Abstraction\\using a Learned MDP Homomorphism

Augustine Mavor-Parker *, Andrea Banino, Lewis Griffin *, Caswell Barry *

RLDM

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Measuring CLEVRness: Black-box Testing of Visual Reasoning Models

Spyridon Mouselinos *, Henryk Michalewski *, Mateusz Malinowski

ICLR

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Publication

Temporally Abstract Partial Models

Khimya Khetarpal *, Zafarali Ahmed, Gheorghe Comanici, Doina Precup

NeurIPS

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Publication

PARTS: Unsupervised segmentation with slots, attention and independence maximization

Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo Jimenez Rezende

ICCV

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Generative Art Using Neural Visual Grammars and Dual Encoders

Ali Eslami, Dylan Banarse, Simon Osindero, Chrisantha Fernando, Jean-baptiste Alayrac, Piotr Mirowski

arXiv

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Publication

Persistent Message Passing

Heiko Strathmann, Amin Barekatain, Charles Blundell, Petar Veličković

arXiv

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Publication

Evaluating the Apperception Engine

Richard Evans, J Hernández-Orallo *, Johannes Welbl *, Pushmeet Kohli, Marek Sergot *

arXiv

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Probing Emergent Semantics in Predictive Agents via Question Answering

A Das *, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill

ICML

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Learning to cooperate: Emergent communication in multi-agent navigation

Ivana Kajić *, E Aygün *, Doina Precup

arXiv

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Publication

Product Kanerva Machines: Factorized Bayesian Memory

Adam Marblestone, Yan Wu, Gregory Wayne

arXiv

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Publication

CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Kexin Yi *, Chuang Gan *, Yuanzhi Li *, Pushmeet Kohli, Jiajun Wu *, Antonio Torralba *, J Tenenbaum *

arXiv

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Publication

Emergent Systematic Generalization in a Situated Agent

Felix Hill, A K Lampinen *, Rosalia Schneider, Stephen Clark, Matt Botvinick, JL McClelland *, Adam Santoro

arXiv

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Publication

Unsupervised Learning of Object Keypoints for Perception and Control

Tejas Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Vlad Mnih

arXiv

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Publication

Interval Timing in Deep Reinforcement Learning Agents

Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo

arXiv

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Publication

A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning

Sunny Duan, Nick Watters, Loic Matthey, Christopher Burgess, Alexander Lerchner, Irina Higgins

arXiv

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Publication

An Explicitly Relational Neural Network Architecture

Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo

ICML

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Publication

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Nick Watters, Loic Matthey, Matko Bošnjak, Christopher Burgess, Alexander Lerchner

ICML

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Publication

Structured agents for physical construction

Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jess Hamrick

arXiv

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Multi-Object Representation Learning with Iterative Variational Inference

Klaus Greff *, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matt Botvinick, Alexander Lerchner

ICML

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Publication

The Termination Critic

Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup

arXiv

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Publication

Learning to Make Analogies by Contrasting Abstract Relational Structure

Felix Hill, Adam Santoro, David G. T. Barrett *, Ari Morcos, Timothy Lillicrap

arXiv

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Publication

MONet: Unsupervised Scene Decomposition and Representation

Chris Burgess, Loic Matthey, Nick Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, Alexander Lerchner

arXiv

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Publication

Hierarchical Representations with Poincaré Variational Auto-Encoders

Emile Mathieu *, Charline Le Lan *, C J Bates *, Ryota Tomioka *, Yee Whye Teh

arXiv

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Publication

Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning

Aishwarya Agrawal *, Mateusz Malinowski, Felix Hill, S M Ali Eslami, Oriol Vinyals, Tejas Kulkarni

NIPS LBI Workshop

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Publications

Abstraction & concepts