Selected Presentations
Planning, reasoning, and generalisation in deep learning

Planning, reasoning, and generalisation in deep learning

Talk presented at the Royal Society meeting titled “Beyond the symbols vs signals debate”.

Understanding and improving model-based deep RL

Understanding and improving model-based deep RL

Talk presented in the Imperial College London ICARL Seminar Series

On the role of planning in model-based deep RL

On the role of planning in model-based deep RL

Talk presented at the CCN GAC titled “What is the place of planning?”.

Tutorial on model-based reinforcement learning

Tutorial on model-based reinforcement learning

Tutorial presented at ICML 2020 with Igor Mordatch.

Structured agents for physical construction

Structured agents for physical construction

Talk presented at ICML 2019.

Structured computation and representation in deep RL

Structured computation and representation in deep RL

Presented at the Workshop on Structured Prediction meets Deep Reinforcement Learning, ICLR 2019

nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook

nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook

Presented at SciPy 2017

Reproducible, One Button Workflows with the Jupyter Notebook & Scons

Reproducible, One Button Workflows with the Jupyter Notebook & Scons

Presented at SciPy 2016

Teaching with IPython: Jupyter Notebooks and JupyterHub

Teaching with IPython: Jupyter Notebooks and JupyterHub

Presented at SciPy 2015