Selected Presentations

Structured agents for physical construction (2019, June). Talk and poster presented at ICML 2019. Long Beach, CA.
[video]
Structured Computation and Representation in Deep Reinforcement Learning (2019, May). Presented at the Workshop on Structured Prediction meets Deep Reinforcement Learning, ICLR 2019. New Orleans, LA, USA.
[video]
Mental simulation, imagination, and model-based deep RL (2019, April). Lecture for Stanford CS379. Palo Alto, CA.
[video] [pdf slides]
Metareasoning and mental simulation (2017, February). Presented at Stanford University, Palo Alto, CA.
[video]

Podcasts

2019, November. Jessica Hamrick. Talk RL.
2019, October. Mental Simulation and Construction. Brain Inspired, Episode 51.
2019, August. AI and neuroscience: The virtuous circle. DeepMind Podcast, Episode 1.
2017, February. Teaching programming to social scientists. PG Podcast, Episode 22.
2016, February. Models of Mental Simulation. Data Skeptic.

Invited Presentations

2020, February. Mental Simulation, Imagination, and Model-Based Deep RL. Presented to the Generalization in Mind and Machine group at the University of Bristol. Bristol, UK.
2019, November. Structured agents for physical construction. Presented at the Stanford CoCoLab lab meeting. Palo Alto, CA, USA.
2019, October. Mental Simulation, Imagination, and Model-Based Deep RL. Presented at the Johns Hopkins University seminar series. Baltimore, MD, USA.
2019, October. Introduction to Reinforcement Learning. Lecture presented in the “Introduction to Computational Cognitive Science” class at Johns Hopkins University. Baltimore, MD, USA.
2019, July. Resource-rational mental simulation (in both humans and machines!). Presented at the CogSci Workshop on Heuristics, Hacks, and Habits. Montreal, Canada.
2019, July. Mental Simulation, Imagination, and Model-Based Deep RL. Presented at the Diverse Intelligences Summer Institute (DISI). St. Andrews, Scotland, UK.
2019, June. Mental Simulation, Imagination, and Model-Based Deep RL. Presented at the ICML Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI. Long Beach, CA, USA.
2019, May. nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook. Presented at the nbgrader Jupyter Community Workshop. Edinburgh, UK.
2019, May. Construction as the manipulation of structure. Presented at the Workshop on Representation Learning for Graphs and Manifolds, ICLR 2019. New Orleans, LA, USA.
[video]
2019, April. Relational inductive bias, deep learning, and graph networks. Linear Accelerator Laboratory (LAL) Seminar Series. Paris, France.
2018, October. nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook. Presented at PyData Paris. Paris, France.
2018, July. Meta-reasoning for adaptive physical strategy selection and control. Presented at the Symposium for Strategies and Representations in Physical Inference, CogSci 2018. Madison, WI.
2018, July. Structured Computation and Representation in Deep Reinforcement Learning. Presented at the Workshop on Prediction and Generative Modeling in Reinforcement Learning, ICML 2018. Stockholm, Sweden.
2018, March. Metareasoning and mental simulation in humans and artificial agents. Presented at the Workshop on Model-Based Cognition: Hierarchical Reasoning and Sequential Planning, COSYNE 2018. Breckenridge, CO.
2017, July. Metacontrol for Adaptive Imagination-Based Optimization. Presented at the Workshop on Deep Learning in Computational Cognitive Science, CogSci 2017. London, UK.
2017, July. Think again? Adaptive allocation of resources for mental simulation. Presented at the Symposium on Bridging Levels of Analysis with Rational Process Models, MathPsych 2017. Coventry, UK.
2016, October. Metareasoning and mental simulation. Stanford University. Palo Alto, CA.
2015, December. Think again? Bounded optimality in decisions from internally generated evidence. Presented at the Bounded Optimality and Rational Metareasoning Workshop, NeurIPS 2015. Montreal, Canada.
[ppt]
2015, November. Teaching with Jupyter Notebooks. Presented at CodeNeuro 2015. San Francisco, CA.
[html slides ]
2015, November. Mental Simulation in Humans and Robots. Presented at the Algorithms for Human-Robot Interaction Workshop. Berkeley, CA.

Conference Presentations

2020, April. Combining Q-Learning and Search with Amortized Value Estimates. Poster presented at ICLR 2020.
2018, July. Relational inductive bias for physical construction in humans and machines. Poster presented at the 40th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
2017, August. The Jupyter notebook as document: from structure to application. Talk presented at JupyterCon 2017. New York, NY.
2017, July. Exploring the inductive bias of visual scenes. Poster presented at the 39th Annual Conference of the Cognitive Science Society. London, UK.
2017, July. nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook. Talk presented at SciPy 2017. Austin, TX.
[video]
2017, April. Metacontrol for Adaptive Imagination-Based Optimization. Poster presented at the 5th International Conference on Learning Representations (ICLR 2017). Toulon, France.
2016, December. Imagination-Based Decision Making with Physical Models in Deep Neural Networks. Talk and poster presented at the NeurIPS 2016 Workshop on Intuitive Physics. Barcelona, Spain.
2016, December. Metareasoning and mental simulation. Poster presented at the 11th Women in Machine Learning Workshop (WiML 2016). Barcelona, Spain.
2016, August. Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. Tutorial presented at the 38th Annual Conference of the Cognitive Science Society. Philadelphia, PA.
2016, July. Reproducible, One-Button Workflows with the Jupyter Notebook and SCons. Talk presented at SciPy 2016. Austin, TX.
[video]
2016, March. Creating and Grading Assignments in the IPython/Jupyter Notebook with nbgrader. Demo presented at SIGCSE 2016. Memphis, TN.
[html slides ]
2015, July. Think again? The amount of mental simulation tracks uncertainty in the outcome. Talk presented at the 37th Annual Conference of the Cognitive Science Society. Austin, TX.
[ppt]
2015, July. Teaching with IPython/Jupyter Notebooks and JupyterHub. Talk presented at SciPy 2015. Austin, TX.
[video] [html slides ]
2014, April. Games for Science: Creating interactive psychology experiments in Python with Panda3D. Talk presented at PyCon 2014. Montreal, Canada.
[abstract] [html slides ] [video]
2013, November. Rewriting Python Docstrings with a Metaclass. Talk presented at the San Francisco Python Meetup.
[html slides ] [video]
2013, August. Inferring mass in complex physical scenes via probabilistic simulation. Talk presented at the 46th Annual Meeting of the Society of Mathematical Psychology. Potsdam, Germany.
[html slides ] [screencast]
2013, August. Inferring mass in complex physical scenes via probabilistic simulation. Poster presented at the 35th Annual Conference of the Cognitive Science Society. Berlin, Germany.
[abstract] [poster]
2012, May. Physics knowledge aids object perception in dynamic scenes. Poster presented at the Annual Meeting of the Vision Sciences Society. Naples, FL.
[poster]