Search Results for author: Srivatsan Srinivasan

Found 7 papers, 2 papers with code

An Empirical Study of Implicit Regularization in Deep Offline RL

no code implementations5 Jul 2022 Caglar Gulcehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet

Also, we empirically identify three phases of learning that explain the impact of implicit regularization on the learning dynamics and found that bootstrapping alone is insufficient to explain the collapse of the effective rank.

Association Offline RL

Output-Constrained Bayesian Neural Networks

1 code implementation15 May 2019 Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez

Bayesian neural network (BNN) priors are defined in parameter space, making it hard to encode prior knowledge expressed in function space.

Truly Batch Apprenticeship Learning with Deep Successor Features

no code implementations24 Mar 2019 Dong-hun Lee, Srivatsan Srinivasan, Finale Doshi-Velez

We introduce a novel apprenticeship learning algorithm to learn an expert's underlying reward structure in off-policy model-free \emph{batch} settings.


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