Talks and presentations

Efficiently Scaling Model-Free Reinforcement Learning with Local Approximation

March 04, 2025

Talk, University of Pennsylvania, SEAS, Philadelphia, PA, USA

Presented a guest lecture at UPenn, SEAS on efficient scaling of RL systems such that the sample-complexity of learning is a linear function of state-space size using localized MDP approximations, improving on SOTA log-linear scaling bounds. The full paper is available here.

Building Robust Systems Using Adversarial Input Masking

August 15, 2021

Talk, International Student Conference on Artificial Intelligence, Singapore

Presentation at STCAI2021 on using generative adversarial networks to build robust systems using a form of input masking. The results of the study showed that informed masking allowed for better regularization on image prediction than dropout and can be used in conjunction with existing data augmentation methods. Recording attached inside.