Probabilistic internal physics models guide judgments about object dynamics. - Jessica B. Hamrick; Peter W. Battaglia; Joshua B. Tenenbaum (CogSci, 2011)

Approximating Bayesian inference with a sparse distributed memory system. - Joshua T. Abbott; Jessica B. Hamrick; Thomas L. Griffiths 001 (CogSci, 2013)

Inferring mass in complex physical scenes via probabilistic simulation. - Jessica B. Hamrick; Peter W. Battaglia; Thomas L. Griffiths 001; Joshua B. Tenenbaum (CogSci, 2013)

What to simulate? Inferring the right direction for mental rotation. - Jessica B. Hamrick; Thomas L. Griffiths 001 (CogSci, 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 001 (NIPS, 2014)

Think again? The amount of mental simulation tracks uncertainty in the outcome. - Jessica B. Hamrick; Kevin A. Smith 001; Thomas L. Griffiths 001; Ed Vul (CogSci, 2015)

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. - Chang Liu 002; Jessica B. Hamrick; Jaime F. Fisac; Anca D. Dragan; J. Karl Hedrick; S. Shankar Sastry; Thomas L. Griffiths 001 (AAMAS, 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 001 (CogSci, 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; et al. (ELPUB, 2016)

Creating and Grading IPython/Jupyter Notebook Assignments with NbGrader. - Jessica B. Hamrick (SIGCSE, 2016)

Generating Plans that Predict Themselves. - Jaime F. Fisac; Chang Liu 002; Jessica B. Hamrick; Shankar Sastry 001; J. Karl Hedrick; Thomas L. Griffiths 001; Anca D. Dragan (WAFR, 2016)

Discovering simple heuristics from mental simulation. - Frederick Callaway; Jessica B. Hamrick; Tom Griffiths 001 (CogSci, 2017)

Exploring inductive bias of visual scenes. - Jessica B. Hamrick; David Bourgin; Thomas Langlois; Tom Griffiths 001 (CogSci, 2017)

Metacontrol for Adaptive Imagination-Based Optimization. - Jessica B. Hamrick; Andrew J. Ballard; Razvan Pascanu; Oriol Vinyals; Nicolas Heess; Peter W. Battaglia (ICLR (Poster), 2017)

Pragmatic-Pedagogic Value Alignment. - Jaime F. Fisac; Monica A. Gates; Jessica B. Hamrick; Chang Liu 002; Dylan Hadfield-Menell; Malayandi Palaniappan; Dhruv Malik; S. Shankar Sastry; Thomas L. Griffiths 001; Anca D. Dragan (ISRR, 2017)

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 001; Peter W. Battaglia (CogSci, 2018)

Strategies and representations in physical inference. - Kevin A. Smith 001; Josh Tenenbaum 001; Erin M. Anderson; Susan J. Hespos; Lance J. Rips; Chaz Firestone; Jessica B. Hamrick (CogSci, 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 001; Çaglar Gülçehre; H. Francis Song; et al. (CoRR, 2018)

Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. - Ishita Dasgupta 001; Eric Schulz; Jessica B. Hamrick; Josh Tenenbaum 001 (CogSci, 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 (CogSci, 2019)

Structured agents for physical construction. - Victor Bapst; Alvaro Sanchez-Gonzalez; Carl Doersch; Kimberly L. Stachenfeld; Pushmeet Kohli; Peter W. Battaglia; Jessica B. Hamrick (ICML, 2019)

Object-oriented state editing for HRL. - Victor Bapst; Alvaro Sanchez-Gonzalez; Omar Shams; Kimberly L. Stachenfeld; Peter W. Battaglia; Satinder Singh 001; Jessica B. Hamrick (CoRR, 2019)

nbgrader v0.5.5. - Project Jupyter; Douglas Blank; David Bourgin; Alexander Brown; Matthias Bussonnier; Jonathan Frederic; Brian E. Granger; Thomas L. Griffiths 001; Jessica B. Hamrick; Kyle Kelley; Michael Pacer; Logan Page; et al. (Zenodo, 2019)

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 (ICLR, 2020)

Levels of Analysis for Machine Learning. - Jessica B. Hamrick; Shakir Mohamed (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)

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)

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 001; Lars Holger Buesing; Petar Velickovic; Theophane Weber (ICLR, 2021)

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 (CLeaR, 2022)

Learning Causal Overhypotheses through Exploration in Children and Computational Models. - Eliza Kosoy; Adrian Liu; Jasmine Collins; David M. Chan; Jessica B. Hamrick; Sandy Han Huang; Nan Rosemary Ke; Bryanna Kaufmann; Alison Gopnik (CogSci, 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 (ICLR, 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 (NeurIPS, 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)

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)

Towards Understanding How Machines Can Learn Causal Overhypotheses. - 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 (CogSci, 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 (ICML, 2023)

Transformers meet Neural Algorithmic Reasoners. - Wilfried Bounsi; Borja Ibarz; Andrew Dudzik; Jessica B. Hamrick; Larisa Markeeva; Alex Vitvitskyi; Razvan Pascanu; Petar Velickovic (CoRR, 2024)