T. Lillicrap

Most-cited papers

Mastering the game of Go without human knowledge
David Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou +13 more
2017Nature11K citations
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
O. Vinyals, Igor Babuschkin, W. Czarnecki, Michaël Mathieu +38 more
2019Nature4,581 citations
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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
David Silver, T. Hubert, J. Schrittwieser, I. Antonoglou +9 more
2018Science4,283 citations Open access
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Machel Reid, N. Savinov, Denis Teplyashin, Dmitry Lepikhin +496 more
2024arXiv.org4,129 citations
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Mastering Atari, Go, chess and shogi by planning with a learned model
J. Schrittwieser, I. Antonoglou, T. Hubert, K. Simonyan +8 more
2019Nature2,834 citations Open access
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Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, T. Lillicrap, Jimmy Ba, Mohammad Norouzi
2019International Conference on Learning Representations2,487 citations
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Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, T. Lillicrap, Ian S. Fischer, Ruben Villegas +3 more
2018International Conference on Machine Learning2,303 citations
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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver, T. Hubert, J. Schrittwieser, I. Antonoglou +9 more
2017arXiv.org2,162 citations
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Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, Jonathan Schwarz, T. Lillicrap +1 more
2018Neural Information Processing Systems1,930 citations
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A simple neural network module for relational reasoning
A. Santoro, D. Raposo, D. G. Barrett, Mateusz Malinowski +3 more
2017Neural Information Processing Systems1,726 citations
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DeepMind Control Suite
Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez +8 more
2018arXiv.org1,558 citations
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Mastering Diverse Domains through World Models
Danijar Hafner, J. Pašukonis, Jimmy Ba, T. Lillicrap
2023arXiv.org1,542 citations Open access
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Mastering Atari with Discrete World Models
Danijar Hafner, T. Lillicrap, Mohammad Norouzi, Jimmy Ba
2020International Conference on Learning Representations1,420 citations
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A deep learning framework for neuroscience
B. Richards, T. Lillicrap, Philippe Beaudoin, Yoshua Bengio +28 more
2019Nature Neuroscience1,061 citations Open access
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Compressive Transformers for Long-Range Sequence Modelling
Jack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, Chloe Hillier +1 more
2019International Conference on Learning Representations1,025 citations
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Backpropagation and the brain
T. Lillicrap, A. Santoro, Luke Marris, C. Akerman +1 more
2020Nature Reviews Neuroscience1,020 citations
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StarCraft II: A New Challenge for Reinforcement Learning
O. Vinyals, T. Ewalds, S. Bartunov, Petko Georgiev +21 more
2017arXiv.org987 citations
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Vector-based Navigation using Grid-like Representations in Artificial Agents
Andrea Banino, Caswell Barry, Benigno Uria, C. Blundell +22 more
2018Nature740 citations Open access
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dm_control: Software and Tasks for Continuous Control
S. Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu +6 more
2020Softw. Impacts563 citations Open access
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Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron, Matthew W. Hoffman, D. Budden, Will Dabney +5 more
2018International Conference on Learning Representations553 citations
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Measuring abstract reasoning in neural networks
D. G. Barrett, F. Hill, A. Santoro, Ari S. Morcos +1 more
2018International Conference on Machine Learning418 citations
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Android in the Wild: A Large-Scale Dataset for Android Device Control
Christopher Rawles, Alice Li, Daniel Rodríguez, Oriana Riva +1 more
2023Neural Information Processing Systems401 citations Open access
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Catalyzing next-generation Artificial Intelligence through NeuroAI
A. Zador, Sean Escola, B. Richards, Bence P. Ölveczky +23 more
2022Nature Communications327 citations Open access
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Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
D. Raposo, Samuel Ritter, Blake A. Richards, T. Lillicrap +2 more
2024arXiv.org299 citations
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Episodic Curiosity through Reachability
N. Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent +3 more
2018International Conference on Learning Representations298 citations
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Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
S. Bartunov, A. Santoro, B. Richards, Luke Marris +2 more
2018Neural Information Processing Systems294 citations
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Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
I. Popov, N. Heess, T. Lillicrap, Roland Hafner +6 more
2017arXiv.org288 citations
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Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan +3 more
2024arXiv.org268 citations
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Relational Deep Reinforcement Learning
V. Zambaldi, D. Raposo, A. Santoro, V. Bapst +12 more
2018arXiv.org247 citations
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Deep reinforcement learning with relational inductive biases
V. Zambaldi, D. Raposo, A. Santoro, V. Bapst +12 more
2018International Conference on Learning Representations236 citations
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Relational recurrent neural networks
A. Santoro, Ryan Faulkner, D. Raposo, Jack W. Rae +6 more
2018Neural Information Processing Systems229 citations
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Unsupervised Predictive Memory in a Goal-Directed Agent
G. Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza +20 more
2018arXiv.org212 citations
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Deep Compressed Sensing
Yan Wu, Mihaela Rosca, T. Lillicrap
2019International Conference on Machine Learning202 citations
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Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shi-Xiang Gu, T. Lillicrap, Zoubin Ghahramani, Richard E. Turner +2 more
2017Neural Information Processing Systems182 citations
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Deep Learning without Weight Transport
Mohamed Akrout, Collin Wilson, P. Humphreys, T. Lillicrap +1 more
2019Neural Information Processing Systems177 citations
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Backpropagation through time and the brain.
T. Lillicrap, A. Santoro
2019Current Opinion in Neurobiology164 citations Open access
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Dendritic solutions to the credit assignment problem.
B. Richards, T. Lillicrap
2019Current Opinion in Neurobiology162 citations
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Optimizing agent behavior over long time scales by transporting value
Chia-Chun Hung, T. Lillicrap, Josh Abramson, Yan Wu +4 more
2018Nature Communications148 citations Open access
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An investigation of model-free planning
A. Guez, Mehdi Mirza, K. Gregor, Rishabh Kabra +9 more
2019International Conference on Machine Learning138 citations
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A data-driven approach for learning to control computers
P. Humphreys, D. Raposo, Tobias Pohlen, Gregory Thornton +7 more
2022International Conference on Machine Learning133 citations
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Learning to Make Analogies by Contrasting Abstract Relational Structure
F. Hill, A. Santoro, D. G. Barrett, Ari S. Morcos +1 more
2019International Conference on Learning Representations124 citations
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Noise Contrastive Priors for Functional Uncertainty
Danijar Hafner, Dustin Tran, T. Lillicrap, Alex Irpan +1 more
2018Conference on Uncertainty in Artificial Intelligence109 citations
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The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari, Patrick J. Mineault, T. Lillicrap, C. Pack +1 more
2021bioRxiv104 citations Open access
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LOGAN: Latent Optimisation for Generative Adversarial Networks
Y. Wu, J. Donahue, David Balduzzi, K. Simonyan +1 more
2019arXiv.org92 citations
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Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights
Arash Samadi, T. Lillicrap, D. Tweed
2017Neural Computation81 citations
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Retrieval-Augmented Reinforcement Learning
Anirudh Goyal, A. Friesen, Andrea Banino, T. Weber +12 more
2022International Conference on Machine Learning79 citations
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Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Danijar Hafner, Dustin Tran, Alex Irpan, T. Lillicrap +1 more
2018arXiv.org77 citations
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Discovering objects and their relations from entangled scene representations
D. Raposo, A. Santoro, D. G. Barrett, Razvan Pascanu +2 more
2017International Conference on Learning Representations77 citations
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Rotational dynamics in motor cortex are consistent with a feedback controller
H. Kalidindi, K. Cross, T. Lillicrap, Mohsen Omrani +3 more
2020bioRxiv75 citations Open access
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Imitating Interactive Intelligence
Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale +20 more
2020arXiv.org74 citations
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