Jessica B. Hamrick

According to our database, Jessica B. Hamrick authored at least 33 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Investigating the Role of Model-Based Learning in Exploration and Transfer.

Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards Understanding How Machines Can Learn Causal Overhypotheses.

Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John F. Canny, Nan Rosemary Ke, Alison Gopnik

CoRR, 2022

Physical Design using Differentiable Learned Simulators.

Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff

CoRR, 2022

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators.

Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Procedural generalization by planning with self-supervised world models.

Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Causal Overhypotheses through Exploration in Children and Computational Models.

Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy H. Huang, Bryanna Kaufmann, John F. Canny, Alison Gopnik

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

On the role of planning in model-based deep reinforcement learning.

Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Velickovic, Theophane Weber

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Exploring Exploration: Comparing Children with RL Agents in Unified Environments.

Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny

CoRR, 2020

Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning.

Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber

CoRR, 2020

Levels of Analysis for Machine Learning.

Jessica B. Hamrick, Shakir Mohamed

CoRR, 2020

Combining Q-Learning and Search with Amortized Value Estimates.

Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Object-oriented state editing for HRL.

Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick

CoRR, 2019

Structured agents for physical construction.

Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick

Proceedings of the 36th International Conference on Machine Learning, 2019

A resource-rational model of physical abstraction for efficient mental simulation.

Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making.

Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Relational inductive biases, deep learning, and graph networks.

Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu

CoRR, 2018

Strategies and representations in physical inference.

Kevin A. Smith, Josh Tenenbaum, Erin Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Relational inductive bias for physical construction in humans and machines.

Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Pragmatic-Pedagogic Value Alignment.

Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Metacontrol for Adaptive Imagination-Based Optimization.

Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia

Proceedings of the 5th International Conference on Learning Representations, 2017

Exploring inductive bias of visual scenes.

Jessica B. Hamrick, David Bourgin, Thomas Langlois, Tom Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Discovering simple heuristics from mental simulation.

Frederick Callaway, Jessica B. Hamrick, Tom Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Generating Plans that Predict Themselves.

Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Creating and Grading IPython/Jupyter Notebook Assignments with NbGrader.

Jessica B. Hamrick

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Jupyter Notebooks - a publishing format for reproducible computational workflows.

Thomas Kluyver, Benjamin Ragan-Kelley, Fernando Pérez, Brian E. Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, Jessica B. Hamrick, Jason Grout, Sylvain Corlay, Paul Ivanov, Damián Avila, Safia Abdalla, Carol Willing, Jupyter Development Team

Proceedings of the Positioning and Power in Academic Publishing: Players, 2016

Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing.

Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration.

Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Think again? The amount of mental simulation tracks uncertainty in the outcome.

Jessica B. Hamrick, Kevin A. Smith, Thomas L. Griffiths, Ed Vul

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Algorithm selection by rational metareasoning as a model of human strategy selection.

Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

What to simulate? Inferring the right direction for mental rotation.

Jessica B. Hamrick, Thomas L. Griffiths

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Inferring mass in complex physical scenes via probabilistic simulation.

Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Approximating Bayesian inference with a sparse distributed memory system.

Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011

Probabilistic internal physics models guide judgments about object dynamics.

Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011