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Timothy Lillicrap

  1. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
    2017/12/05 by David Silver, Silver, David, Thomas Hubert +23 · 5 voices · 200 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, Raposo, David, Sam Ritter +11 · 9 voices · 44 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL #cs.LG
  3. Mastering Atari, Go, chess and shogi by planning with a learned model
    2019/11/19 by Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9 · 4 voices · 152 citations
    Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning
  4. Mastering Diverse Domains through World Models
    2023/01/10 by Danijar Hafner, Jurgis Pašukonis, Hafner, Danijar +6 · 5 voices · 174 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
  5. 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 · 1354 citations
    #cs.CL #cs.AI
  6. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 541 citations
    Computer Science · #Semantic Web and Ontologies
  7. Dream to Control: Learning Behaviors by Latent Imagination
    2019/12/03 by Danijar Hafner, Timothy Lillicrap, Hafner, Danijar +5 · 2 voices · 187 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.RO
  8. Mastering Atari with Discrete World Models
    2020/10/05 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +5 · 2 voices · 114 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
  9. 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
  10. DeepMind Control Suite
    2018/01/02 by Yuval Tassa, Yotam Doron, Tassa, Yuval +21 · 2 voices · 136 citations
    Computer Science · #Distributed and Parallel Computing Systems #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #cs.AI
  11. One-shot Learning with Memory-Augmented Neural Networks
    2016/05/19 by Adam Santoro, Santoro, Adam, Sergey Bartunov +7 · 1 voice · 29 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Geophysical Methods and Applications
  12. Continuous control with deep reinforcement learning
    2015/09/09 by Timothy Lillicrap, Jonathan J. Hunt, Lillicrap, Timothy P. +13 · 436 citations
    Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  13. Random feedback weights support learning in deep neural networks
    2014/11/02 by Timothy Lillicrap, Timothy P. Lillicrap, Daniel Cownden +7 · 1 voice · 13 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural Networks and Applications #Neural dynamics and brain function #cs.NE #q-bio.NC
  14. Learning Latent Dynamics for Planning from Pixels
    2018/11/12 by Danijar Hafner, Hafner, Danijar, Timothy Lillicrap +11 · 145 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
  15. StarCraft II: A New Challenge for Reinforcement Learning
    2017/08/16 by Oriol Vinyals, Vinyals, Oriol, Timo Ewalds +48 · 1 voice · 47 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
  16. Experience Replay for Continual Learning
    2018/11/28 by David Rolnick, Arun Ahuja, Rolnick, David +7 · 99 citations
    Computer Science · Decision Sciences · #Domain Adaptation and Few-Shot Learning #Advanced Bandit Algorithms Research #Online Learning and Analytics
  17. 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 · 50 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
  18. Unsupervised Predictive Memory in a Goal-Directed Agent
    2018/03/28 by Greg Wayne, Wayne, Greg, Chia-Chun Hung +50 · 1 voice · 6 citations
    Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
  19. Backpropagation and the brain
    2020/04/17 by Timothy P. Lillicrap, Timothy Lillicrap, Adam Santoro +4 · 31 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural Networks and Applications #Neural dynamics and brain function
  20. What does it mean to understand a neural network?
    2019/07/15 by Timothy Lillicrap, Timothy P. Lillicrap, Konrad P. Körding +3 · 4 voices · 3 citations
    Computer Science · Neuroscience · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Neural dynamics and brain function #Cell Image Analysis Techniques
  21. Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
    2016/11/07 by Shixiang Gu, Gu, Shixiang, Timothy Lillicrap +7 · 28 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Fuel Cells and Related Materials #Advanced Neural Network Applications
  22. Measuring abstract reasoning in neural networks
    2018/07/11 by David G. T. Barrett, Barrett, David G. T., Felix Hill +7 · 27 citations
    Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  23. Learning Continuous Control Policies by Stochastic Value Gradients
    2015/10/30 by Nicolas Heess, Heess, Nicolas, Greg Wayne +9 · 16 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
  24. 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
  25. Towards deep learning with segregated dendrites
    2016/10/01 by Jordan Guergiuev, Guergiuev, Jordan, Timothy Lillicrap +3 · 10 citations
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neuroscience and Neural Engineering
  26. Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
    2016/10/27 by Jack W. Rae, Jack W Rae, Rae, Jack W +16 · 1 voice · 3 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling #cs.LG
  27. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, G. Sean Escola, Zador, Anthony +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
  28. Distributed Distributional Deterministic Policy Gradients
    2018/04/23 by Gabriel Barth-Maron, Matthew W. Hoffman, Barth-Maron, Gabriel +15 · 14 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
  29. Training Agents Inside of Scalable World Models
    2025/09/29 by Danijar Hafner, Wilson Yan, Hafner, Danijar +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
  30. 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
  31. 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
  32. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Rohan Anil, Gemini Team, Sebastian Borgeaud +2682 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.AI #cs.CL #cs.CV
  33. The Kanerva Machine: A Generative Distributed Memory
    2018/04/05 by Yan Wu, Greg Wayne, Wu, Yan +5 · 1 voice · 2 citations
    Computer Science · #stat.ML #cs.AI #cs.LG #cs.NE
  34. Symbolic Behaviour in Artificial Intelligence
    2021/02/05 by Adam Santoro, Santoro, Adam, Andrew Lampinen +7 · 3 voices · 1 citation
    #cs.AI #cs.LG
  35. Deep Compressed Sensing
    2019/05/16 by Yan Wu, Wu, Yan, Mihaela Rosca +3 · 6 citations
    Engineering · #Sparse and Compressive Sensing Techniques #Image Processing Techniques and Applications #Photoacoustic and Ultrasonic Imaging
  36. 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
  37. Imitating Interactive Intelligence
    2020/12/10 by Josh Abramson, Arun Ahuja, Abramson, Josh +55 · 7 citations
    Computer Science · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Domain Adaptation and Few-Shot Learning
  38. Fast Parametric Learning with Activation Memorization
    2018/03/27 by Jack W. Rae, Rae, Jack W, Chris Dyer +5 · 7 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  39. 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
  40. Meta-Learning Neural Bloom Filters
    2019/06/10 by Jack W. Rae, Rae, Jack W, Sergey Bartunov +3 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Data Structures and Algorithms (cs.DS) #Databases (cs.DB) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  41. Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
    2021/12/07 by DeepMind Interactive Agents Team, Josh Abramson, Abramson, Josh +48 · 2 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  42. Can foundation models actively gather information in interactive environments to test hypotheses?
    2024/12/09 by Danny P. Sawyer, Nan Rosemary Ke, Sawyer, Danny P. +25 · 3 voices · 2 citations
    Decision Sciences · Computer Science · #Scientific Computing and Data Management #Semantic Web and Ontologies #Data Visualization and Analytics
  43. LOGAN: Latent Optimisation for Generative Adversarial Networks
    2019/12/02 by Yan Wu, Jeff Donahue, Wu, Yan +7 · 1 voice
    #cs.LG #stat.ML
  44. 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
  45. 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
  46. Towards Biologically Plausible Convolutional Networks
    2021/06/22 by Roman Pogodin, Pogodin, Roman, Yash Mehta +5 · 1 citation
    Neuroscience · Computer Science · Engineering · #Neural dynamics and brain function #Visual Attention and Saliency Detection #Advanced Memory and Neural Computing
  47. Evaluating Multimodal Interactive Agents
    2022/05/26 by Josh Abramson, Abramson, Josh, Arun Ahuja +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
  48. Equilibrium Aggregation: Encoding Sets via Optimization
    2022/02/25 by Sergey Bartunov, Bartunov, Sergey, Fabian B. Fuchs +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