Matthew Botvinick
机构: Google DeepMind, Yale Law School, University College London
每年引用次数
引用次数
引用: 84,301
H-指数: 100
I10-指数 : 173
出版物: 376
Learning to Share and Hide Intentions using Information Regularization
Matthew Botvinick , Max Kleiman-Weiner , Daniel Strouse , Josh Tenenbaum
neural information processing systems 31 10249 -10259
14
2018
Demand Selection Task Debriefing Questionnaire
Matthew M. Botvinick , Wouter Kool , Zev B. Rosen , Joseph T. McGuire
2014
From predictive models to cognitive models: An analysis of rat behavior in the two-armed bandit task
MM Botvinick , CD Brody , CD Brody , KJ Miller
bioRxiv 461129
7
2018
Deep reinforcement learning with relational inductive biases
Matthew Botvinick , Razvan Pascanu , David P. Reichert , Karl Tuyls
international conference on learning representations
154
2018
InfoBot: Transfer and Exploration via the Information Bottleneck
Matthew Botvinick , Yoshua Bengio , Hugo Larochelle , Sergey Levine
arXiv: Machine Learning
128
2019
Episodic Control through Meta-Reinforcement Learning.
Matthew Botvinick , Zeb Kurth-Nelson , Jane X. Wang , Samuel Ritter
Cognitive Science
2018
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
Matthew Botvinick , David G. T. Barrett , Felix Hill , Adam Santoro
arXiv: Neurons and Cognition
2019
Learned human-agent decision-making, communication and joint action in a virtual reality environment.
Matthew Botvinick , Patrick M. Pilarski , Michael Johanson , Adam S. R. Parker
arXiv: Artificial Intelligence
3
2019
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
Matthew Botvinick , Yoshua Bengio , Hugo Larochelle , Sergey Levine
2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Matthew Botvinick , Iain Dunning , Neil Burch , Shimon Whiteson
international conference on machine learning 1942 -1951
49
2018
SCAN: Learning Hierarchical Compositional Visual Concepts
Demis Hassabis , Matthew Botvinick , Murray Shanahan , Matko Bosnjak
international conference on learning representations
39
2018
On the importance of single directions for generalization
Matthew Botvinick , David G. T. Barrett , Neil C. Rabinowitz , Ari S. Morcos
international conference on learning representations
65
2018
Cognitive psychology for deep neural networks: a shape bias case study
Matt M. Botvinick , David G.T. Barrett , Adam Santoro , Samuel Ritter
international conference on machine learning 2940 -2949
35
2017
Multi-Object Representation Learning with Iterative Variational Inference
Matthew Botvinick , Klaus Greff , Daniel Zoran , Loic Matthey
international conference on machine learning 2424 -2433
51
2019
DARLA: improving zero-shot transfer in reinforcement learning
Matthew Botvinick , Alexander Pritzel , Charles Blundell , Andrei Rusu
international conference on machine learning 1480 -1490
51
2017
InfoBot: Transfer and Exploration via the Information Bottleneck
Matthew Botvinick , Yoshua Bengio , Hugo Larochelle , Sergey Levine
international conference on learning representations
27
2019
Relational Forward Models for Multi-Agent Learning
Matthew Botvinick , Andrea Tacchetti , Thore Graepel , Peter W. Battaglia
international conference on learning representations
19
2018
Emergent Systematic Generalization in a Situated Agent
Matthew Botvinick , James L. McClelland , Stephen Clark , Felix Hill
17
2019
A resource-rational model of physical abstraction for efficient mental simulation.
Matthew Botvinick , Jessica B. Hamrick , Peter W. Battaglia , Raphael Koster
Cognitive Science 3618
2019
Emergent Systematic Generalization In a Situated Agent
Matthew Botvinick , James L. McClelland , Stephen Clark , Felix Hill
international conference on learning representations
1
2020