Meta-Learning

Publication

Meta-Learning Black-Box Optimization via Black-Box Optimization

Robert Lange, Tom Schaul, Tom Zahavy, Yutian Chen, Valentin Dalibard, Chris Lu, Satinder Baveja, Sebastian Flennerhag

ICLR

Download

Publication

Beyond Bayes-optimality: meta-learning what you know you don’t know

Jordi Grau, Grégoire Delétang, Markus Kunesch, Tim Genewein, Kevin Li, Elliot Catt, Anian Ruoss, Chris Cundy, Joel Veness, Jane Wang, Marcus Hutter, Christopher Summerfield, Shane Legg

arXiv

Download

Publication

Leveraging Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

Sreejan Kumar *, Carlos G. Correa *, Ishita Dasgupta, Raja Marjieh *, Michael Y. Hu *, Robert XD Hawkins *, Nathaniel Daw *, Jonathan D. Cohen *, Karthik Narasimhan *, Thomas L. Griffiths *

NeurIPS

Download

Publication

On the Role of Neural Collapse in Transfer Learning

Andras Gyorgy, Marcus Hutter

ICLR

Download

Publication

Bootstrapped Meta-Learning

Yannick Schroecker, Tom Zahavy, David Silver, Satinder Baveja, Sebastian Flennerhag, Hado van Hasselt

ICLR

Download

Publication

Introducing Symmetries to Black Box Meta Reinforcement Learning

Louis Kirsch *, Sebastian Flennerhag, Hado van Hasselt, Abe Friesen, Junhyuk Oh, Yutian Chen

AAAI

Download

Publication

Unifying gradient estimators for meta-reinforcement learning via off-policy evaluation

Yunhao Tang, Tadashi Kozuno *, Mark Rowland, Remi Munos, Michal Valko

NeurIPS

Download

Publication

A Distribution-Dependent Analysis of Meta-Learning

Mikhail Konobeev *, Ilja Kuzborskij, Csaba Szepesvari

ICML

Download

Publication

Alchemy: A structured task distribution for meta-reinforcement learning

Jane Wang, Michael King, Zeb Kurth-Nelson, Nicolas Porcel, Francis Song, Peter Choy, David Reichert, Charlie Deck, Malcolm Reynolds, Demis Hassabis, Mary Cassin, Neil Rabinowitz, Gavin Buttimore, Loic Matthey, Alexander Lerchner, Matt Botvinick

arXiv

Download

Publication

Embracing Change: Continual Learning in Deep Neural Networks

Raia Hadsell, Dushyant Rao, Andrei Rusu, Razvan Pascanu

Trends in Cognitive Sciences

Download

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

Download

Publication

Information Theoretic Meta Learning with Gaussian Processes

Michalis Titsias, Sotirios Nikoloutsopoulos *, Alexandre Galashov

arXiv

Download

Publication

Amortized learning of neural causal representations

N R Ke *, Jane Wang, Jovana Mitrovic, Martin Szummer, Danilo Rezende

arXiv

Download

Publication

Discovering Reinforcement Learning Algorithms

Junhyuk Oh, Matteo Hessel, Wojciech Marian Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh *, David Silver

arXiv

Download

Publication

Rapid Task-Solving in Novel Environments

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

arXiv

Download

Publication

Self-Tuning Deep Reinforcement Learning

Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh *

arXiv

Download

Publication

Adapting Behaviour for Learning Progress

Tom Schaul, Diana Borsa, David Ding, David Szepesvpari, Georg Ostrovski, Will Dabney, Simon Osindero

arXiv

Download

Publication

What Can Learned Intrinsic Rewards Capture?

Zeyu Zheng *, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh *

ICML

Download

Publication

MetaFun: Meta-Learning with Iterative Functional Updates

J Xu *, J-F Ton *, Hyunjik Kim, A Kosiorek *, Yee Whye Teh

ICML

Download

Publication

LOGAN: Latent Optimisation for Generative Adversarial Networks

Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap

arXiv

Download

Publication

Meta-Learning Deep Energy-Based Memory Models

Sergey Bartunov, Jack Rae, Simon Osindero, Timothy Lillicrap

arXiv

Download

Publication

Discovery of Useful Questions as Auxiliary Tasks

Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh *

NeurIPS

Download

Publication

Meta-Learning with Warped Gradient Descent

Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin *, Raia Hadsell

arXiv

Download

Publication

On Inductive Biases in Deep Reinforcement Learning

Matteo Hessel, Hado van Hasselt, Joseph Modayil, David Silver

RLDM

Download

Publication

Meta-Learning Neural Bloom Filters

Jack Rae, S Bartunov, Timothy Lillicrap

ICML

Download

Publications

Meta-Learning