31 citations · 81 across the 32 of their papers we have counts for
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cs.LG2023★ 3 cited
Inverse Reinforcement Learning With Constraint Recovery
Nirjhar Das, Arpan Chattopadhyay
In this work, we propose a novel inverse reinforcement learning (IRL) algorithm for constrained Markov decision process (CMDP) problems. In standard IRL problems, the inverse learn…
cs.LG2023★ 1 cited
Online Reinforcement Learning in Periodic MDP
Ayush Aniket, Arpan Chattopadhyay
We study learning in periodic Markov Decision Process (MDP), a special type of non-stationary MDP where both the state transition probabilities and reward functions vary periodical…
cs.LG2020
Centralized active tracking of a Markov chain with unknown dynamics
Mrigank Raman, Ojal Kumar, Arpan Chattopadhyay
In this paper, selection of an active sensor subset for tracking a discrete time, finite state Markov chain having an unknown transition probability matrix (TPM) is considered. A t…