Sanyam Kapoor

We explore a method to improve the sample efficiency when we have access to demonstrations. Expand

Reinforcement Learning (RL) is a learning paradigm concerned with learning to control a system so as to maximize an objective over the long term. Expand

We introduce first-order preconditioning (FOP), a fast, scalable approach that generalizes previous work on hypergradient descent (Almeida et al., 1998; Maclaurin et al, 2015) to learn a preconditionsing matrix that only makes use of first- order information. Expand

This paper proposes Variational Auto-Regressive Gaussian Process (VAR-GP), a principled Bayesian updating mechanism to incorporate new data for sequential tasks in the context of continual learning. Expand