47 citations · 48 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Towards Painless Policy Optimization for Constrained MDPs
Arushi Jain, Sharan Vaswani, Reza Babanezhad +2
We study policy optimization in an infinite horizon, -discounted constrained Markov decision process (CMDP). Our objective is to return a policy that achieves large expected rew…
cs.CV2021★ 47 cited
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
Shubham Paliwal, Arushi Jain, Monika Sharma +1
Digitization of scanned Piping and Instrumentation diagrams(P&ID), widely used in manufacturing or mechanical industries such as oil and gas over several decades, has become a crit…
cs.LG2021
Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain +2
Reinforcement learning algorithms are typically geared towards optimizing the expected return of an agent. However, in many practical applications, low variance in the return is de…