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Lillicrap, Timothy

  1. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
    2017/12/05 by David Silver, Thomas Hubert, Silver, David +23 · 5 voices · 216 citations
    Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Video Analysis and Summarization
  2. Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
    2024/04/02 by David Raposo, Sam Ritter, Raposo, David +11 · 9 voices · 45 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL #cs.LG
  3. Mastering Diverse Domains through World Models
    2023/01/10 by Danijar Hafner, Jurgis Pasukonis, Hafner, Danijar +6 · 5 voices · 178 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
  4. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1378 citations
    #cs.CL #cs.AI
  5. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 564 citations
    Computer Science · #Semantic Web and Ontologies
  6. Dream to Control: Learning Behaviors by Latent Imagination
    2019/12/03 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +5 · 2 voices · 193 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.RO
  7. Mastering Atari with Discrete World Models
    2020/10/05 by Danijar Hafner, Timothy Lillicrap, Hafner, Danijar +5 · 2 voices · 115 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
  8. A simple neural network module for relational reasoning
    2017/06/05 by Adam Santoro, David Raposo, Santoro, Adam +11 · 1 voice · 16 citations
    #cs.CL #cs.LG
  9. DeepMind Control Suite
    2018/01/02 by Yuval Tassa, Yotam Doron, Tassa, Yuval +21 · 2 voices · 146 citations
    Computer Science · #Distributed and Parallel Computing Systems #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #cs.AI
  10. One-shot Learning with Memory-Augmented Neural Networks
    2016/05/19 by Adam Santoro, Sergey Bartunov, Santoro, Adam +7 · 1 voice · 31 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Geophysical Methods and Applications
  11. StarCraft II: A New Challenge for Reinforcement Learning
    2017/08/16 by Oriol Vinyals, Vinyals, Oriol, Timo Ewalds +48 · 1 voice · 54 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #cs.AI #cs.LG
  12. Learning Latent Dynamics for Planning from Pixels
    2018/11/12 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +11 · 156 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multimodal Machine Learning Applications
  13. Matching Networks for One Shot Learning
    2016/06/13 by Vinyals, Oriol, Blundell, Charles, Lillicrap, Timothy +2 · 99 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Android in the Wild: A Large-Scale Dataset for Android Device Control
    2023/07/19 by C. Rawles, Christopher Rawles, Alice Li +9 · 1 voice · 54 citations
    Computer Science · #Computation and Language (cs.CL) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Human Pose and Action Recognition #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #cs.CL #cs.HC #cs.LG
  15. Unsupervised Predictive Memory in a Goal-Directed Agent
    2018/03/28 by Greg Wayne, Wayne, Greg, Chia-Chun Hung +50 · 1 voice · 8 citations
    Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
  16. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
    2024/05/23 by Rawles, Christopher, Clinckemaillie, Sarah, Chang, Yifan +12 · 89 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
    2016/10/03 by Gu, Shixiang, Holly, Ethan, Lillicrap, Timothy +1 · 19 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  18. Measuring abstract reasoning in neural networks
    2018/07/11 by David G. T. Barrett, Felix Hill, Barrett, David G. T. +7 · 32 citations
    Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  19. Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
    2016/11/07 by Shixiang Gu, Gu, Shixiang, Timothy Lillicrap +7 · 29 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Fuel Cells and Related Materials #Advanced Neural Network Applications
  20. Learning Continuous Control Policies by Stochastic Value Gradients
    2015/10/30 by Nicolas Heess, Heess, Nicolas, Greg Wayne +9 · 18 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  21. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Rohan Anil, Gemini Team +2692 · 9 voices · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  22. Assessing the Scalability of Biologically-Motivated Deep Learning\n Algorithms and Architectures
    2018/07/12 by Sergey Bartunov, Bartunov, Sergey, Adam Santoro +9 · 18 citations
    Engineering · Computer Science · #Advanced Memory and Neural Computing #Neural Networks and Reservoir Computing #Ferroelectric and Negative Capacitance Devices
  23. Distributed Distributional Deterministic Policy Gradients
    2018/04/23 by Gabriel Barth-Maron, Barth-Maron, Gabriel, Matthew W. Hoffman +15 · 17 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Zebrafish Biomedical Research Applications
  24. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, Zador, Anthony, G. Sean Escola +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
  25. Training Agents Inside of Scalable World Models
    2025/09/29 by Danijar Hafner, Hafner, Danijar, Wilson Yan +3 · 4 voices · 19 citations
    Computer Science · Mathematics · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #cs.AI #cs.LG #cs.RO #stat.ML
  26. Deep Reinforcement Learning in Large Discrete Action Spaces
    2015/12/24 by Dulac-Arnold, Gabriel, Evans, Richard, van Hasselt, Hado +7 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  27. Deep Learning without Weight Transport
    2019/04/10 by Akrout, Mohamed, Wilson, Collin, Humphreys, Peter C. +2 · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Episodic Curiosity through Reachability
    2018/10/04 by Nikolay Savinov, Savinov, Nikolay, Anton Raichuk +11 · 16 citations
    Computer Science · #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
  29. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
    2024/05/20 by Didolkar, Aniket, Goyal, Anirudh, Ke, Nan Rosemary +7 · 18 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Noise Contrastive Priors for Functional Uncertainty
    2018/07/24 by Danijar Hafner, Hafner, Danijar, Dustin Tran +7 · 1 voice · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG #stat.ML
  31. The Kanerva Machine: A Generative Distributed Memory
    2018/04/05 by Yan Wu, Wu, Yan, Greg Wayne +5 · 1 voice · 2 citations
    Computer Science · #stat.ML #cs.AI #cs.LG #cs.NE
  32. Continuous Deep Q-Learning with Model-based Acceleration
    2016/03/02 by Gu, Shixiang, Lillicrap, Timothy, Sutskever, Ilya +1 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  33. Deep Compressed Sensing
    2019/05/16 by Yan Wu, Wu, Yan, Mihaela Rosca +3 · 7 citations
    Engineering · #Sparse and Compressive Sensing Techniques #Image Processing Techniques and Applications #Photoacoustic and Ultrasonic Imaging
  34. Symbolic Behaviour in Artificial Intelligence
    2021/02/05 by Adam Santoro, Andrew Lampinen, Santoro, Adam +7 · 3 voices · 1 citation
    #cs.AI #cs.LG
  35. Evaluating Long-Term Memory in 3D Mazes
    2022/10/24 by Pasukonis, Jurgis, Lillicrap, Timothy, Hafner, Danijar · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Learning and Transfer of Modulated Locomotor Controllers
    2016/10/17 by Heess, Nicolas, Wayne, Greg, Tassa, Yuval +3 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
  37. Retrieval-Augmented Reinforcement Learning
    2022/02/17 by Abram L. Friesen, Goyal, Anirudh, Friesen, Abram L. +24 · 5 citations
    Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  38. Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
    2017/04/10 by Popov, Ivaylo, Heess, Nicolas, Lillicrap, Timothy +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  39. Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
    2017/06/01 by Gu, Shixiang, Lillicrap, Timothy, Ghahramani, Zoubin +3 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  40. Relational Deep Reinforcement Learning
    2018/06/05 by Zambaldi, Vinicius, Raposo, David, Santoro, Adam +13 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
    2021/12/07 by DeepMind Interactive Agents Team, Josh Abramson, Arun Ahuja +48 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  42. Imitating Interactive Intelligence
    2020/12/10 by Josh Abramson, Arun Ahuja, Abramson, Josh +55 · 8 citations
    Computer Science · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning
  43. Learning to Make Analogies by Contrasting Abstract Relational Structure
    2019/01/31 by Felix Hill, Hill, Felix, Adam Santoro +7 · 3 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  44. Optimizing Agent Behavior over Long Time Scales by Transporting Value
    2018/10/15 by Hung, Chia-Chun, Lillicrap, Timothy, Abramson, Josh +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  45. Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
    2022/11/21 by Abramson, Josh, Ahuja, Arun, Carnevale, Federico +16 · 2 citations
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  46. LOGAN: Latent Optimisation for Generative Adversarial Networks
    2019/12/02 by Yan Wu, Jeff Donahue, Wu, Yan +7 · 1 voice
    #cs.LG #stat.ML
  47. Relational recurrent neural networks
    2018/06/05 by Santoro, Adam, Faulkner, Ryan, Raposo, David +7 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  48. Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
    2019/04/18 by Adam Santoro, Felix Hill, Santoro, Adam +9 · 1 citation
    Neuroscience · Computer Science · Psychology · #Cognitive Science and Education Research #Cognitive Science and Mapping #Action Observation and Synchronization
  49. An investigation of model-free planning
    2019/01/11 by Guez, Arthur, Mirza, Mehdi, Gregor, Karol +10 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  50. Learning Attractor Dynamics for Generative Memory
    2018/11/23 by Yan Wu, Wu, Yan, Gregory Wayne +5 · 3 citations
    Computer Science · #Music and Audio Processing #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  51. Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
    2020/09/11 by Mirza, Mehdi, Jaegle, Andrew, Hunt, Jonathan J. +9 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  52. Evaluating Multimodal Interactive Agents
    2022/05/26 by Josh Abramson, Arun Ahuja, Abramson, Josh +29 · 1 voice
    Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.LG
  53. Equilibrium Aggregation: Encoding Sets via Optimization
    2022/02/25 by Sergey Bartunov, Fabian B. Fuchs, Bartunov, Sergey +3 · 1 citation
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science #Neural Networks and Applications
  54. Large-Scale Retrieval for Reinforcement Learning
    2022/06/10 by Humphreys, Peter C., Guez, Arthur, Tieleman, Olivier +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)