Jessica B. Hamrick

47 papers A* 6A 2B 14C 2Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Transformers meet Neural Algorithmic Reasoners. CoRR Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
2023	A*	`conf`	Investigating the Role of Model-Based Learning in Exploration and Transfer. ICML Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick
2023	J	`jnl`	Investigating the role of model-based learning in exploration and transfer. CoRR Jacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Théophane Weber, Jessica B. Hamrick
2023	B	`conf`	Towards Understanding How Machines Can Learn Causal Overhypotheses. CogSci 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
2022	A*	`conf`	Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2022	—	`conf`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CLeaR 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
2022	B	`conf`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CogSci Eliza Kosoy, Adrian Liu, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Han Huang, Nan Rosemary Ke, Bryanna Kaufmann, Alison Gopnik
2022	J	`jnl`	Learning Causal Overhypotheses through Exploration in Children and Computational Models. CoRR 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
2022	J	`jnl`	Physical Design using Differentiable Learned Simulators. CoRR Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff
2022	A*	`conf`	Procedural generalization by planning with self-supervised world models. ICLR Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Theophane Weber, Jessica B. Hamrick
2022	J	`jnl`	Towards Understanding How Machines Can Learn Causal Overhypotheses. CoRR 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
2021	A*	`conf`	On the role of planning in model-based deep reinforcement learning. ICLR 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
2021	J	`jnl`	Procedural Generalization by Planning with Self-Supervised World Models. CoRR Ankesh Anand, Jacob C. Walker, Yazhe Li, Eszter Vértes, Julian Schrittwieser, Sherjil Ozair, Théophane Weber, Jessica B. Hamrick
2020	A*	`conf`	Combining Q-Learning and Search with Amortized Value Estimates. ICLR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2020	J	`jnl`	Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. CoRR Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber
2020	J	`jnl`	Exploring Exploration: Comparing Children with RL Agents in Unified Environments. CoRR Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny
2020	J	`jnl`	Levels of Analysis for Machine Learning. CoRR Jessica B. Hamrick, Shakir Mohamed
2020	J	`jnl`	On the role of planning in model-based deep reinforcement learning. CoRR Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber
2019	B	`conf`	A resource-rational model of physical abstraction for efficient mental simulation. CogSci Tina Zhu, Jessica B. Hamrick, Kevin R. McKee, Raphael Koster, Jan Balaguer, Peter W. Battaglia, Matthew M. Botvinick
2019	J	`jnl`	Combining Q-Learning and Search with Amortized Value Estimates. CoRR Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
2019	B	`conf`	Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
2019	J	`jnl`	Object-oriented state editing for HRL. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
2019	A*	`conf`	Structured agents for physical construction. ICML Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2019	J	`jnl`	Structured agents for physical construction. CoRR Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
2018	J	`jnl`	Generating Plans that Predict Themselves. CoRR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2018	J	`jnl`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2018	B	`conf`	Relational inductive bias for physical construction in humans and machines. CogSci Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive bias for physical construction in humans and machines. CoRR Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR 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
2018	B	`conf`	Strategies and representations in physical inference. CogSci Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick
2017	B	`conf`	Discovering simple heuristics from mental simulation. CogSci Frederick Callaway, Jessica B. Hamrick, Tom Griffiths
2017	B	`conf`	Exploring inductive bias of visual scenes. CogSci Jessica B. Hamrick, David Bourgin, Thomas A. Langlois, Tom Griffiths
2017	—	`conf`	Metacontrol for Adaptive Imagination-Based Optimization. ICLR (Poster) Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
2017	J	`jnl`	Metacontrol for Adaptive Imagination-Based Optimization. CoRR Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
2017	C	`conf`	Pragmatic-Pedagogic Value Alignment. ISRR 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
2017	J	`jnl`	Pragmatic-Pedagogic Value Alignment. CoRR 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
2016	A	`conf`	Creating and Grading IPython/Jupyter Notebook Assignments with NbGrader. SIGCSE Jessica B. Hamrick
2016	C	`conf`	Generating Plans that Predict Themselves. WAFR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2016	A	`conf`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2016	—	`conf`	Jupyter Notebooks - a publishing format for reproducible computational workflows. ELPUB 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
2016	B	`conf`	Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. CogSci Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths
2015	B	`conf`	Think again? The amount of mental simulation tracks uncertainty in the outcome. CogSci Jessica B. Hamrick, Kevin A. Smith, Thomas L. Griffiths, Ed Vul
2014	—	`conf`	Algorithm selection by rational metareasoning as a model of human strategy selection. NIPS Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay, Thomas L. Griffiths
2014	B	`conf`	What to simulate? Inferring the right direction for mental rotation. CogSci Jessica B. Hamrick, Thomas L. Griffiths
2013	B	`conf`	Approximating Bayesian inference with a sparse distributed memory system. CogSci Joshua T. Abbott, Jessica B. Hamrick, Thomas L. Griffiths
2013	B	`conf`	Inferring mass in complex physical scenes via probabilistic simulation. CogSci Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum
2011	B	`conf`	Probabilistic internal physics models guide judgments about object dynamics. CogSci Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum