Selected Media Participation
Talks and Panels
Representation-driven Option Discovery in Reinforcement Learning
Universite de Montreal, GERAD DS4DM Coffee Tak
56 minutes; August 2023
Loss of Plasticity in Continual Deep Reinforcement Learning
CoLLAs, Paper Presentation
11 minutes; August 2023
Don't Panic! Reinforcement Learning is Full of Magical Things Patiently Waiting for our Wits to Grow Sharper
Upper Bound, Keynote
1 hour, 9 minutes; May 2023
The Role of Abstractions in Reinforcement Learning
Alberta Machine Intelligence Institute, Research Overview
5 minutes; Feb 2022
Autonomous Navigation of Stratospheric Balloons using Reinforcement Learning
Alberta Machine Intelligence Institute, AI Meetup
1 hour; June 2021
Autonomous Navigation of Stratospheric Balloons using Reinforcement Learning
University of Alberta, AI Seminar
1 hour, 8 minutes; January 2021
An Operator View of Policy Gradient Methods
University of Alberta, AI Seminar
58 minutes; November 2020
Count-Based Exploration with the Successor Representation
University of Alberta, Tea Time Talk
34 minutes; August 2018
ICML Exploration in Reinforcement Learning Workshop, Panel
with Martha White, Finale Doshi-Velez, Ian Osband, and Ben van Roy as Moderator
50 minutes; July 2018
Participation in Podcasts
Approximately Correct
39 minutes; June 2024
Spotify ⚬ Apple Podcasts
TalkRL: The Reinforcement Learning Podcast
1 hour, 32 minutes; April 2021.
Spotify ⚬ Apple Podcasts ⚬ Amazon Music
Interviews and Documentaries
Interview -- Career and Personal Life (in Portuguese)
Filipe Mesquita ⚬ Tecnologia & Carreira
38 minutes; December 2020
Interview -- Reinf. Learning in the Real-World (in Portuguese)
Filipe Mesquita ⚬ Tecnologia & Carreira
22 minutes; January 2021
Interview by H. M. Silva (in Portuguese, but also translated to English—not by me)
Conexão Ciência ⚬ Transcript
Written; December 2019
Hello World Canada: The Rise of AI
Bloomberg TV ⚬ Original Link
51 minutes; May 2018
Research Featured as Written Articles in Popular Media
- Chris Baraniuk in BBC, February 2021: How Google's balloons surprised their creator. Link
- Eric Niiler in Wired, December 2020: New AI-Based Navigation Helps Loon’s Balloons Hover in Place. Link
- Nick Statt in The Verge, December 2020: Alphabet’s Loon hands the reins of its internet air balloons to self-learning AI. Link
- Darrell Etherington in TechCrunch, December 2020: Loon’s stratospheric balloons are now teaching themselves to fly better thanks to Google AI. Link
- Karina Shah in NewScientist, December 2020: Google's AI can keep Loon balloons flying for over 300 days in a row. Link
- Lous Stone in AI Business, December 2020: Google Loon balloons are now run by an AI. Link
- Government Technology, December 2020: What is now steering Alphabet’s Loon Internet balloons? Link