Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Timothy Lillicrap

Symbolic Behaviour in Artificial Intelligence


Feb 05, 2021
Adam Santoro, Andrew Lampinen, Kory Mathewson, Timothy Lillicrap, David Raposo


  Access Paper or Ask Questions

Imitating Interactive Intelligence


Jan 21, 2021
Josh Abramson, Arun Ahuja, Iain Barr, Arthur Brussee, Federico Carnevale, Mary Cassin, Rachita Chhaparia, Stephen Clark, Bogdan Damoc, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy Lillicrap, Kory Mathewson, Soňa Mokrá, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Duncan Williams, Nathaniel Wong, Chen Yan, Rui Zhu


  Access Paper or Ask Questions

Mastering Atari with Discrete World Models


Oct 05, 2020
Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba

* 8 pages, 4 figures, 4 tables 

  Access Paper or Ask Questions

Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban


Oct 03, 2020
Peter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber


  Access Paper or Ask Questions

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning


Sep 11, 2020
Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Peter Karkus, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess


  Access Paper or Ask Questions

dm_control: Software and Tasks for Continuous Control


Jun 22, 2020
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess

* arXiv admin note: text overlap with arXiv:1801.00690 

  Access Paper or Ask Questions

Dream to Control: Learning Behaviors by Latent Imagination


Dec 03, 2019
Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi

* 9 pages, 12 figures 

  Access Paper or Ask Questions

LOGAN: Latent Optimisation for Generative Adversarial Networks


Dec 02, 2019
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap


  Access Paper or Ask Questions

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model


Nov 19, 2019
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver


  Access Paper or Ask Questions

Deep Learning without Weight Transport


May 31, 2019
Mohamed Akrout, Collin Wilson, Peter C. Humphreys, Timothy Lillicrap, Douglas Tweed


  Access Paper or Ask Questions

Deep Compressed Sensing


May 18, 2019
Yan Wu, Mihaela Rosca, Timothy Lillicrap

* ICML 2019 

  Access Paper or Ask Questions

Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette


Apr 18, 2019
Adam Santoro, Felix Hill, David Barrett, David Raposo, Matthew Botvinick, Timothy Lillicrap


  Access Paper or Ask Questions

Episodic Curiosity through Reachability


Feb 22, 2019
Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy Lillicrap, Sylvain Gelly

* Accepted to ICLR 2019. Code at https://github.com/google-research/episodic-curiosity/. Videos at https://sites.google.com/view/episodic-curiosity/ 

  Access Paper or Ask Questions

Learning to Make Analogies by Contrasting Abstract Relational Structure


Jan 31, 2019
Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy Lillicrap


  Access Paper or Ask Questions

An investigation of model-free planning


Jan 11, 2019
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap


  Access Paper or Ask Questions

Learning Latent Dynamics for Planning from Pixels


Dec 03, 2018
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

* 10 pages, 5 figures, 1 table 

  Access Paper or Ask Questions

Learning Attractor Dynamics for Generative Memory


Nov 23, 2018
Yan Wu, Greg Wayne, Karol Gregor, Timothy Lillicrap


  Access Paper or Ask Questions

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors


Oct 31, 2018
Danijar Hafner, Dustin Tran, Timothy Lillicrap, Alex Irpan, James Davidson

* 9 pages, 5 figures 

  Access Paper or Ask Questions

Optimizing Agent Behavior over Long Time Scales by Transporting Value


Oct 15, 2018
Chia-Chun Hung, Timothy Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne


  Access Paper or Ask Questions

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures


Jul 12, 2018
Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy Lillicrap


  Access Paper or Ask Questions

Measuring abstract reasoning in neural networks


Jul 11, 2018
David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy Lillicrap

* ICML 2018 

  Access Paper or Ask Questions

Relational recurrent neural networks


Jun 28, 2018
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap


  Access Paper or Ask Questions

Relational Deep Reinforcement Learning


Jun 28, 2018
Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia


  Access Paper or Ask Questions

The Kanerva Machine: A Generative Distributed Memory


Jun 18, 2018
Yan Wu, Greg Wayne, Alex Graves, Timothy Lillicrap

* Published as a conference paper at ICLR 2018 (corrected typos in revision) 

  Access Paper or Ask Questions

Distributed Distributional Deterministic Policy Gradients


Apr 23, 2018
Gabriel Barth-Maron, Matthew W. Hoffman, David Budden, Will Dabney, Dan Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy Lillicrap


  Access Paper or Ask Questions

Recall Traces: Backtracking Models for Efficient Reinforcement Learning


Apr 02, 2018
Anirudh Goyal, Philemon Brakel, William Fedus, Timothy Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

* In Review at ICML 2018 

  Access Paper or Ask Questions

Unsupervised Predictive Memory in a Goal-Directed Agent


Mar 28, 2018
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matt Botvinick, Demis Hassabis, Timothy Lillicrap


  Access Paper or Ask Questions

DeepMind Control Suite


Jan 02, 2018
Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, Timothy Lillicrap, Martin Riedmiller

* 24 pages, 7 figures, 2 tables 

  Access Paper or Ask Questions