Matt M. Botvinick

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Human Behaviour

Minimum Description Length

Temporal Reasoning

Top Venues

Publications

Raphael Koster, Miruna Pîslar, Andrea Tacchetti, Jan Balaguer, Leqi Liu, Romuald Elie, Oliver P. Hauser, Karl Tuyls, Matt M. Botvinick, Christopher Summerfield
Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. CoRR (2024)
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz
Meta-in-context learning in large language models. NeurIPS (2023)
Ted Moskovitz, Ta-Chu Kao, Maneesh Sahani, Matt M. Botvinick
Minimum Description Length Control. ICLR (2023)
Kevin J. Miller, Maria Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson
Cognitive Model Discovery via Disentangled RNNs. NeurIPS (2023)
Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, Christopher Summerfield
Fine-tuning language models to find agreement among humans with diverse preferences. NeurIPS (2022)
David Raposo, Samuel Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt M. Botvinick, Hado van Hasselt, H. Francis Song
Synthetic Returns for Long-Term Credit Assignment. CoRR (2021)
Jane Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charles Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matt M. Botvinick
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents. NeurIPS Datasets and Benchmarks (2021)
David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt M. Botvinick
Attention over Learned Object Embeddings Enables Complex Visual Reasoning. NeurIPS (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. CoRR (2021)
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition. NeurIPS (2021)
DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
Collaborating with Humans without Human Data. NeurIPS (2021)
David Ding, Felix Hill, Adam Santoro, Matt M. Botvinick
Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. CoRR (2020)
Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt M. Botvinick, David Raposo
Rapid Task-Solving in Novel Environments. CoRR (2020)
Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick
Learning to reinforcement learn. CogSci (2017)
Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. ICML (2017)