Kunal Pattanayak

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Cognitive Processes

Hypothesis Test

Inverse Reinforcement Learning

Top Venues

J. Mach. Learn. Res.

Publications

Kunal Pattanayak, Vikram Krishnamurthy
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems. J. Mach. Learn. Res. 24 (2023)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
Shashwat Jain, Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Adaptive Eccm for Mitigating Smart Jammers. ICASSP (2023)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
How can a Radar Mask its Cognition? CoRR (2022)
Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy, Christopher Berry
Adaptive ECCM for Mitigating Smart Jammers. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. FUSION (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. CoRR (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CDC (2022)
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
How Can a Cognitive Radar Mask its Cognition? ICASSP (2022)
Kunal Pattanayak, Vikram Krishnamurthy
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. CoRR (2021)
Kunal Pattanayak, Vikram Krishnamurthy
Unifying Classical and Bayesian Revealed Preference. CoRR (2021)
Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference. IEEE Trans. Aerosp. Electron. Syst. 57 (4) (2021)
Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference. CoRR (2020)
Kunal Pattanayak, Vikram Krishnamurthy
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search. CoRR (2020)
Kunal Pattanayak, Vikram Krishnamurthy, Erik Blasch
Inverse Sequential Hypothesis Testing. FUSION (2020)
William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21 (2020)
William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. CoRR (2019)
Kunal Pattanayak, Aritra Chatterjee, Merim Dzaferagic, Suvra Sekhar Das, Nicola Marchetti
A Functional Complexity Framework for Dynamic Resource Allocation in VANETs. IWCMC (2018)