Matt M. Botvinick

15 papers A* 8B 1Journal 5Unranked 1

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