TL
Timothy Lillicrap
cs.LGcs.AIstat.MLcs.ROcs.NEcs.CLArtificial Intelligenceq-bio.NCNeural Networks, Computerneuroscience
On Valency
published · living versionsW_dq4s63wz·v1 · currentpublished
Matching Networks for One Shot Learning
with Oriol Vinyals, Charles Blundell, Koray Kavukcuoglu, Daan Wierstra
1 version
W_2wg6hmz9·v1published
Preprints & journals
120 papers in the corpus · 2001–2026Functional reorganization of motor cortex connectivity during learning.41846942 · Daie, Kayvon, Aitken, Kyle, Rózsa, Márton et al.2026 · 2 citationsbioRxiv : the preprint server for biology. 2026
Training Agents Inside of Scalable World Models2509.24527v1 · Danijar Hafner, Wilson Yan, Timothy Lillicrap2025 · 0 citationsarXiv
Mastering diverse control tasks through world models.40175544 · Hafner, Danijar, Pasukonis, Jurgis, Ba, Jimmy et al.2025 · 178 citationsNature. 2025;640(8059):647-653
Societal Alignment Frameworks Can Improve LLM Alignment2503.00069v2 · Karolina Sta'nczak, Nicholas Meade, Mehar Bhatia et al.2025 · 0 citationsarXiv
Can foundation models actively gather information in interactive environments to test hypotheses?2412.06438v2 · Danny P. Sawyer, Nan Rosemary Ke, Hubert Soyer et al.2024 · 0 citationsarXiv
The refinement paradox and cumulative cultural evolution: Complex products of collective improvement favor conformist outcomes, blind copying, and hyper-credulity.39325687 · Miu, Elena, Rendell, Luke, Bowles, Sam et al.2024 · 6 citationsPLoS computational biology. 2024;20(9):e1012436
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents2405.14573v5 · Christopher Rawles, Sarah Clinckemaillie, Yifan Chang et al.2024 · 3 citationsarXiv
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving2405.12205v1 · Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke et al.2024 · 12 citationsarXiv
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning2405.00451v2 · Yuxi Xie, Anirudh Goyal, Wenyue Zheng et al.2024 · 5 citationsarXiv
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models2404.02258v1 · David Raposo, Sam Ritter, Blake Richards et al.2024 · 8 citationsarXiv
The refinement paradox and cumulative cultural evolution: collective improvement in knowledge favors conformity, blind copying and hyper-credulity10.1101/2024.03.22.586239v1 · Miu, E., Rendell, L., Bowles, S. et al.2024 · 1 citationbioRxiv
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context2403.05530v5 · Gemini Team Google: Petko Georgiev, Ving Ian Lei, Ryan Burnell et al.2024 · 302 citationsarXiv
Responses to Pattern-Violating Visual Stimuli Evolve Differently Over Days in Somata and Distal Apical Dendrites.37989593 · Gillon, Colleen J, Pina, Jason E, Lecoq, Jérôme A et al.2024 · 49 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2024;44(5)
Gemini: A Family of Highly Capable Multimodal Models2312.11805v5 · Gemini Team Google: Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.2023 · 988 citationsarXiv
Android in the Wild: A Large-Scale Dataset for Android Device Control2307.10088v2 · Christopher Rawles, Alice Li, Daniel Rodriguez et al.2023 · 3 citationsarXiv
Responses of pyramidal cell somata and apical dendrites in mouse visual cortex over multiple days.37198203 · Gillon, Colleen J, Lecoq, Jérôme A, Pina, Jason E et al.2023 · 7 citationsScientific data. 2023;10(1):287
Catalyzing next-generation Artificial Intelligence through NeuroAI.36949048 · Zador, Anthony, Escola, Sean, Richards, Blake et al.2023 · 303 citationsNature communications. 2023;14(1):1597
Mastering Diverse Domains through World Models2301.04104v2 · Danijar Hafner, Jurgis Pasukonis, Jimmy Ba et al.2023 · 124 citationsarXiv
BCI learning phenomena can be explained by gradient-based optimization10.1101/2022.12.08.519453v2 · Humphreys, P. C., Daie, K., Svoboda, K. et al.2022 · 17 citationsbioRxiv
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback2211.11602v1 · Josh Abramson, Arun Ahuja, Federico Carnevale et al.2022 · 6 citationsarXiv
Evaluating Long-Term Memory in 3D Mazes2210.13383v1 · Jurgis Pasukonis, Timothy Lillicrap, Danijar Hafner2022 · 0 citationsarXiv
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution2210.08340v3 · Anthony Zador, Sean Escola, Blake Richards et al.2022 · 34 citationsarXiv
Large-Scale Retrieval for Reinforcement Learning2206.05314v2 · Peter C. Humphreys, Arthur Guez, Olivier Tieleman et al.2022 · 13 citationsarXiv
Intra-agent speech permits zero-shot task acquisition2206.03139v1 · Chen Yan, Federico Carnevale, Petko Georgiev et al.2022 · 3 citationsarXiv
Evaluating Multimodal Interactive Agents2205.13274v2 · Josh Abramson, Arun Ahuja, Federico Carnevale et al.2022 · 3 citationsarXiv
Equilibrium Aggregation: Encoding Sets via Optimization2202.12795v2 · Sergey Bartunov, Fabian B. Fuchs, Timothy Lillicrap2022 · 2 citationsarXiv
Retrieval-Augmented Reinforcement Learning2202.08417v4 · Anirudh Goyal, Abram L. Friesen, Andrea Banino et al.2022 · 23 citationsarXiv
A data-driven approach for learning to control computers2202.08137v2 · Peter C Humphreys, David Raposo, Toby Pohlen et al.2022 · 16 citationsProceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning2112.03763v2 · DeepMind Interactive Agents Team: Josh Abramson, Arun Ahuja, Arthur Brussee et al.2021 · 32 citationsarXiv
Rotational dynamics in motor cortex are consistent with a feedback controller.34730516 · Kalidindi, Hari Teja, Cross, Kevin P, Lillicrap, Timothy P et al.2022 · 83 citationseLife. 2021;10
Towards Biologically Plausible Convolutional Networks2106.13031v2 · Roman Pogodin, Yash Mehta, Timothy P. Lillicrap et al.2021 · 17 citationsarXiv
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning10.1101/2021.06.18.448989v3 · Bakhtiari, S., Mineault, P., Lillicrap, T. et al.2021 · 60 citationsbioRxiv
Symbolic Behaviour in Artificial Intelligence2102.03406v2 · Adam Santoro, Andrew Lampinen, Kory Mathewson et al.2021 · 19 citationsarXiv
Imitating Interactive Intelligence2012.05672v2 · Josh Abramson, Arun Ahuja, Iain Barr et al.2020 · 43 citationsarXiv
Mastering Atari, Go, chess and shogi by planning with a learned model.33361790 · Schrittwieser, Julian, Antonoglou, Ioannis, Hubert, Thomas et al.2021 · 1,684 citationsNature. 2020;588(7839):604-609
Training Generative Adversarial Networks by Solving Ordinary Differential Equations2010.15040v2 · Chongli Qin, Yan Wu, Jost Tobias Springenberg et al.2020 · 17 citationsarXiv
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network10.1101/2020.10.24.353409v1 · Confavreux, B., Zenke, F., Agnes, E. J. et al.2020 · 27 citationsbioRxiv
Mastering Atari with Discrete World Models2010.02193v4 · Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi et al.2020 · 247 citationsarXiv
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban2010.01298v1 · Peter Karkus, Mehdi Mirza, Arthur Guez et al.2020 · 2 citationsarXiv
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning2009.05524v2 · Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt et al.2020 · 5 citationsarXiv
dm_control: Software and Tasks for Continuous Control2006.12983v2 · Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal et al.2020 · 200 citationsarXiv
Backpropagation and the brain.32303713 · Lillicrap, Timothy P, Santoro, Adam, Marris, Luke et al.2020 · 906 citationsNature reviews. Neuroscience. 2020;21(6):335-346
Dream to Control: Learning Behaviors by Latent Imagination1912.01603v3 · Danijar Hafner, Timothy Lillicrap, Jimmy Ba et al.2019 · 531 citationsarXiv
LOGAN: Latent Optimisation for Generative Adversarial Networks1912.00953v2 · Yan Wu, Jeff Donahue, David Balduzzi et al.2019 · 52 citationsarXiv
Is coding a relevant metaphor for building AI?31775918 · Santoro, Adam, Hill, Felix, Barrett, David et al.2019 · 4 citationsThe Behavioral and brain sciences. 2019;42:e240
Optimizing agent behavior over long time scales by transporting value.31745075 · Hung, Chia-Chun, Lillicrap, Timothy, Abramson, Josh et al.2020 · 71 citationsNature communications. 2019;10(1):5223
Compressive Transformers for Long-Range Sequence Modelling1911.05507v1 · Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar et al.2019 · 205 citationsarXiv
Grandmaster level in StarCraft II using multi-agent reinforcement learning.31666705 · Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M et al.2020 · 3,448 citationsNature. 2019;575(7782):350-354
A deep learning framework for neuroscience.31659335 · Richards, Blake A, Lillicrap, Timothy P, Beaudoin, Philippe et al.2020 · 1,022 citationsNature neuroscience. 2019;22(11):1761-1770
Meta-Learning Deep Energy-Based Memory Models1910.02720v2 · Sergey Bartunov, Jack W Rae, Simon Osindero et al.2019 · 23 citationsarXiv
Career total: 155 works. 120 are in this corpus.Showing the 50 most recent.
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