31 citations · 81 across the 32 of their papers we have counts for
36 papers
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…
Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
Rapid advances in designing cognitive and counter-adversarial systems have motivated the development of inverse Bayesian filters. In this setting, a cognitive 'adversary' tracks it…
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…
Inverse Cubature and Quadrature Kalman filters
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
Recent research in inverse cognition with cognitive radar has led to the development of inverse stochastic filters that are employed by the target to infer the information the cogn…
Multi-target Range and Angle detection for MIMO-FMCW radar with limited antennas
Himali Singh, Arpan Chattopadhyay
Multiple-input multiple-output (MIMO) radar has several advantages with respect to the traditional radar array systems in terms of performance and flexibility. However, in order to…
Counter-Adversarial Learning with Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
In counter-adversarial systems, to infer the strategy of an intelligent adversarial agent, the defender agent needs to cognitively sense the information that the adversary has gath…