Botvinick, Matthew

26 publications

TMLR 2023 Adaptive Patch Foraging in Deep Reinforcement Learning Agents Nathan Wispinski, Andrew Butcher, Kory Wallace Mathewson, Craig S Chapman, Matthew Botvinick, Patrick M. Pilarski

ICLR 2023 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

ICLR 2023 Minimum Description Length Control Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matthew Botvinick

ICML 2022 General-Purpose, Long-Context Autoregressive Modeling with Perceiver AR Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel

ICLRW 2022 HCMD-Zero: Learning Value Aligned Mechanisms from Data Jan Balaguer, Raphael Koster, Ari Weinstein, Lucy Campbell-Gillingham, Christopher Summerfield, Matthew Botvinick, Andrea Tacchetti

ICMLW 2022 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende

ICLR 2022 Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira

ICLR 2021 Rapid Task-Solving in Novel Environments Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matthew Botvinick, David Raposo

ICLR 2020 Environmental Drivers of Systematicity and Generalization in a Situated Agent Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro

ICLR 2020 MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell

ICML 2020 Stabilizing Transformers for Reinforcement Learning Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell

ICLR 2020 The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget Anirudh Goyal, Yoshua Bengio, Matthew Botvinick, Sergey Levine

ICML 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling

ICLR 2019 Deep Reinforcement Learning with Relational Inductive Biases 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

ICLR 2019 InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal, Riashat Islam, Dj Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Yoshua Bengio, Sergey Levine

ICML 2019 Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner

ICLR 2019 Relational Forward Models for Multi-Agent Learning Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinicius Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia

ICML 2018 Been There, Done That: Meta-Learning with Episodic Recall Samuel Ritter, Jane Wang, Zeb Kurth-Nelson, Siddhant Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick

ICML 2018 Machine Theory of Mind Neil Rabinowitz, Frank Perbet, Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew Botvinick

ICLR 2018 On the Importance of Single Directions for Generalization Ari S. Morcos, David G.T. Barrett, Neil C. Rabinowitz, Matthew Botvinick

ICLR 2018 SCAN: Learning Hierarchical Compositional Visual Concepts Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P Burgess, Matko Bošnjak, Murray Shanahan, Matthew Botvinick, Demis Hassabis, Alexander Lerchner

ICML 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning Irina Higgins, Arka Pal, Andrei Rusu, Loic Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner

ICML 2016 Meta-Learning with Memory-Augmented Neural Networks Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap

NeurIPS 2014 Design Principles of the Hippocampal Cognitive mAP Kimberly L Stachenfeld, Matthew Botvinick, Samuel J Gershman

NeurIPS 2012 A Systematic Approach to Extracting Semantic Information from Functional MRI Data Francisco Pereira, Matthew Botvinick

NeurIPS 2008 Goal-Directed Decision Making in Prefrontal Cortex: A Computational Framework Matthew Botvinick, James An