Multi-task learning

Publication

Scaling Goal-based Exploration via Pruning Proto-goals

Akhil Bagaria *, Ray Jiang, Ramana Kumar, Tom Schaul

arXiv

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Publication

A Generalist Agent

Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez, Alexander Novikov, Gabe Barth-Maron, Yury Sulsky, Mai Giménez, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Transactions on Machine Learning Research (TMLR)

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On the Role of Neural Collapse in Transfer Learning

Andras Gyorgy, Marcus Hutter

ICLR

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The Effectiveness of Memory Replay in Large Scale Continual Learning

Yogesh Balaji *, Mehrdad Farajtabar, Dong Yin, Ang Li

arXiv

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Publication

Importance Weighted Policy Learning and Adaption

Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess

arXiv

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Publication

Data-efficient Hindsight Off-policy Option Learning

Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Siegel, Nicolas Heess, Martin Riedmiller

arXiv

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Publication

CoMic: Complementary Task Learning & Mimicry for Reusable Skills

Leonard Hasenclever, Raia Hadsell, Nicolas Heess, Josh Merel, Fabio Pardo *

ICML

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Publication

Rapid Task-Solving in Novel Environments

Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt Botvinick, David Raposo

arXiv

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Principal Neighbourhood Aggregation for Graph Nets

Gabriele Corso *, Luca Cavalleri *, Dominique Beaini *, Pietro Liò *, Petar Veličković

NeurIPS

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Publication

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

J Hu *, Sebastian Ruder, Aditya Siddhant *, Graham Neubig *, Orhan Firat *, M Johnson *

ICML

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Publication

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

Noah Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin Riedmiller

ICLR

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Publication

A distributional code for value in dopamine-based reinforcement learning

Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida *, Clara Kwon Starkweather *, Demis Hassabis, Rémi Munos, Matt Botvinick

Nature

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Publication

The Option Keyboard Combining Skills in Reinforcement Learning

André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, E Aygün *, Philippe Hamel, Daniel Toyama, Jonathan Hunt, Shibl Mourad, David Silver, Doina Precup

NeurIPS

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Publication

Deep Neuroethology of a Virtual Rodent

Josh Merel, Diego Aldarondo *, Jesse Marshall *, Yuval Tassa, Gregory Wayne, Bence Ölveczky *

arXiv

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Publication

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin Riedmiller, Matt Botvinick

arXiv

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Publication

Regularized Hierarchical Policies for Compositional Transfer in Robotics

Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Siegel, Nicolas Heess, Martin Riedmiller

arXiv

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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

Functional Regularisation for Continual Learning

Michalis Titsias, Jonathan Schwarz, A Matthews, Razvan Pascanu, Yee Whye Teh

arXiv

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Publication

Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel Mankowitz, Augustin Žídek, Rémi Munos

ICML

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Publication

Universal Successor Features Approximators

Diana Borsa, André Barreto, John Quan, Daniel Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul

arXiv

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Publication

Sample Efficient Adaptive Text-to-Speech

Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang *, L C Cobo *, Andrew Trask, Ben Laurie, Caglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas

arXiv

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Publication

Information Asymmetry in KL-Regularized RL

Alexandre Galashov, Siddhant Jayakumar, Leonard Hassenclever *, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess

ICLR

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Publication

Syntactic Scaffolds for Semantic Structures

Swabha Swayamdipta *, Kenton Lee *, Luke Zettlemoyerr *, Chris Dyer, Noah Smith *

arXiv

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Publication

Mix&Match - Agent Curricula for Reinforcement Learning

Wojciech Marian Czarnecki, Razvan Pascanu, Siddhant Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess

arXiv

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Publication

Progress & Compress: A scalable framework for continual learning

Jonathan Schwarz, Jelena Luketina *, Wojciech Marian Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

arXiv

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Publications

Multi-task learning