Recent & Upcoming Talks

2022

Adaptive Learning Agents workshop at AAMAS

This talk gives an overview of Social RL and dives into three topics: multi-agent social influence, emergent curriculum generation with PAIRED, and emergent social learning and PsiPhi-Learning. It is similar to the faculty job talk I gave at MIT.

2022 Virtual

Institute for Pure and Applied Mathematics (IPAM) Mathematics of Intelligence workshop

This talk focuses on how social learning from other agents can lead to learning more complex behaviors and enhance generalization. I discuss PAIRED and recent work on emergent social learning and PsiPhi-Learning in detail.

2022 UCLA

2021

NeurIPS Political Economy of Reinforcement Learning Panel

Panel discussion on the near-term policy concerns related to reinforcement learning (RL). Other panelists include Michael Dennis, Mireille Hildebrandt, and Salome Viljoen.

2021 Virtual

Conference on Robot Learning (CoRL) Tutorial

An overview of Social Reinforcement Learning, including multi-agent coordination, and using multi-agent training as a tool to induce emergent complexity and improve generalization.

2021 London, UK

Jay Shah Podcast

A casual discussion on my favourite research projects, how I think about generating research ideas, and future directions.

2021 Virtual

Re-Work Women in AI Podcast

A fun discussion of my research, career trajectory, and take on possible beneficial future directions for reinforcement learning research.

2021 Re-Work

2020

UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Seminar

An overview of Social Reinforcement Learning including using multi-agent competition to drive emergent complexity via PAIRED, increasing multi-agent coordination with Social Influence, and learning from human feedback in dialog with Offline RL.

2020 University College London (UCL)

Institute of Cognitive Science Deep Reinforcement Learning Workshop

In addition to talking about Social Reinforcement Learning, I participated in a panel discussion with Deepak Pathak.

2020 University of Osnabrück

Samsung Forum

A talk entitled “Towards Social and Affective Machine Learning”, which covers most of the same content as my PhD defense, including my early PhD work on using multi-task learning for personalized wellbeing prediction.

2020 Samsung Strategy & Innovation Center

2019

Thesis Defense

My thesis defense at the MIT Media Lab. I cover work on Affective Computing, learning from affective signals in human-AI interaction, and multi-agent coordination. Includes an in-depth question period with my PhD committee.

2019 Virtual

Broad Institute Models, Inference, and Algorithms (MIA) Seminar

This talk covers “Mechanisms for Generalized Machine Learning Across Tasks and Environments”, including a KL-control technique for combining reinforcement and supervised learning for generating sequences, and describes how to apply it to the problem of drug discovery.

2019 Broad Institute

2018

StarsConf Keynote Lecture

A talk describing recent advances in AI and machine learning to a general tech audience, including some of my own work. For example, I discuss how to improve the output of a generative sketching model by monitoring people’s facial expression reactions to samples from the model.

2018 Santiago, Chile