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ORCIDJessica B. Hamrick
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2020 – today
- 2024
[i19]Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic:
Transformers meet Neural Algorithmic Reasoners. CoRR abs/2406.09308 (2024)- 2023
- [c28]Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Emily Rose Reagan, John F. Canny, Alison Gopnik:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 2023 - [c27]Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick:
Investigating the Role of Model-Based Learning in Exploration and Transfer. ICML 2023: 35368-35383 - [i18]Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Théophane Weber, Jessica B. Hamrick:
Investigating the role of model-based learning in exploration and transfer. CoRR abs/2302.04009 (2023) - 2022
- [c26]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:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 2022: 390-406 - [c25]Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CogSci 2022 - [c24]Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick:
Procedural generalization by planning with self-supervised world models. ICLR 2022 - [c23]Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS 2022 - [i17]Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Physical Design using Differentiable Learned Simulators. CoRR abs/2202.00728 (2022) - [i16]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:
Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR abs/2202.10430 (2022) - [i15]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:
Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR abs/2206.08353 (2022) - 2021
- [c22]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:
On the role of planning in model-based deep reinforcement learning. ICLR 2021 - [i14]Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick:
Procedural Generalization by Planning with Self-Supervised World Models. CoRR abs/2111.01587 (2021) - 2020
- [c21]Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia:
Combining Q-Learning and Search with Amortized Value Estimates. ICLR 2020 - [i13]Jessica B. Hamrick, Shakir Mohamed:
Levels of Analysis for Machine Learning. CoRR abs/2004.05107 (2020) - [i12]Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber:
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. CoRR abs/2004.11410 (2020) - [i11]Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR abs/2005.02880 (2020) - [i10]Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber:
On the role of planning in model-based deep reinforcement learning. CoRR abs/2011.04021 (2020)
2010 – 2019
- 2019
- [c20]Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum:
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci 2019: 1-2 - [c19]Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick:
A resource-rational model of physical abstraction for efficient mental simulation. CogSci 2019: 3618 - [c18]Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick:
Structured agents for physical construction. ICML 2019: 464-474 - [d1]Project Jupyter, Douglas Blank, David Bourgin, Alexander Brown, Matthias Bussonnier, Jonathan Frederic, Brian E. Granger, Thomas L. Griffiths, Jessica B. Hamrick, Kyle Kelley, Michael Pacer, Logan Page, Fernando Pérez, Benjamin Ragan-Kelley, Jordan W. Suchow, Carol Willing:
nbgrader v0.5.5. Zenodo, 2019
- [i9]Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick:
Structured agents for physical construction. CoRR abs/1904.03177 (2019) - [i8]Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick:
Object-oriented state editing for HRL. CoRR abs/1910.14361 (2019) - [i7]Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia:
Combining Q-Learning and Search with Amortized Value Estimates. CoRR abs/1912.02807 (2019) - 2018
- [c17]Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. CogSci 2018 - [c16]Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick:
Strategies and representations in physical inference. CogSci 2018 - [i6]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR abs/1802.01780 (2018) - [i5]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. CoRR abs/1802.05250 (2018) - [i4]Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. CoRR abs/1806.01203 (2018) - [i3]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:
Relational inductive biases, deep learning, and graph networks. CoRR abs/1806.01261 (2018) - 2017
- [c15]Frederick Callaway, Jessica B. Hamrick, Tom Griffiths:
Discovering simple heuristics from mental simulation. CogSci 2017 - [c14]Jessica B. Hamrick, David Bourgin, Thomas Langlois, Tom Griffiths:
Exploring inductive bias of visual scenes. CogSci 2017 - [c13]Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia:
Metacontrol for Adaptive Imagination-Based Optimization. ICLR (Poster) 2017 - [c12]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:
Pragmatic-Pedagogic Value Alignment. ISRR 2017: 49-57 - [i2]Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia:
Metacontrol for Adaptive Imagination-Based Optimization. CoRR abs/1705.02670 (2017) - [i1]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:
Pragmatic-Pedagogic Value Alignment. CoRR abs/1707.06354 (2017) - 2016
- [c11]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS 2016: 940-948 - [c10]Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths:
Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. CogSci 2016 - [c9]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:
Jupyter Notebooks - a publishing format for reproducible computational workflows. ELPUB 2016: 87-90 - [c8]Jessica B. Hamrick:
Creating and Grading IPython/Jupyter Notebook Assignments with NbGrader. SIGCSE 2016: 242 - [c7]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. WAFR 2016: 144-159 - 2015
- [c6]Jessica B. Hamrick, Kevin A. Smith, Thomas L. Griffiths, Ed Vul:
Think again? The amount of mental simulation tracks uncertainty in the outcome. CogSci 2015 - 2014
- [c5]Jessica B. Hamrick, Thomas L. Griffiths:
What to simulate? Inferring the right direction for mental rotation. CogSci 2014 - [c4]Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay, Thomas L. Griffiths:
Algorithm selection by rational metareasoning as a model of human strategy selection. NIPS 2014: 2870-2878 - 2013
- [c3]Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths:
Approximating Bayesian inference with a sparse distributed memory system. CogSci 2013 - [c2]Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum:
Inferring mass in complex physical scenes via probabilistic simulation. CogSci 2013 - 2011
- [c1]Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum:
Probabilistic internal physics models guide judgments about object dynamics. CogSci 2011
Coauthor Index
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