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ORCIDKunal Pattanayak
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2020 – today
- 2023
[j4]Kunal Pattanayak, Vikram Krishnamurthy:
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems. J. Mach. Learn. Res. 24: 52:1-52:64 (2023)- [j3]Kunal Pattanayak
, Vikram Krishnamurthy, Christopher Berry:
Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8826-8844 (2023) - [c6]Shashwat Jain, Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Adaptive Eccm for Mitigating Smart Jammers. ICASSP 2023: 1-5 - 2022
- [c5]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CDC 2022: 3631-3636 - [c4]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. FUSION 2022: 1-8 - [c3]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
How Can a Cognitive Radar Mask its Cognition? ICASSP 2022: 5897-5901 - [i9]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. CoRR abs/2205.01794 (2022) - [i8]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CoRR abs/2205.10802 (2022) - [i7]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
How can a Radar Mask its Cognition? CoRR abs/2210.11444 (2022) - [i6]Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy, Christopher Berry:
Adaptive ECCM for Mitigating Smart Jammers. CoRR abs/2212.02002 (2022) - 2021
- [j2]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): 2067-2081 (2021) - [i5]Kunal Pattanayak, Vikram Krishnamurthy:
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. CoRR abs/2102.04594 (2021) - [i4]Kunal Pattanayak, Vikram Krishnamurthy:
Unifying Classical and Bayesian Revealed Preference. CoRR abs/2106.14486 (2021) - 2020
- [j1]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21: 170:1-170:39 (2020) - [c2]Kunal Pattanayak, Vikram Krishnamurthy, Erik Blasch:
Inverse Sequential Hypothesis Testing. FUSION 2020: 1-7 - [i3]Kunal Pattanayak, Vikram Krishnamurthy:
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search. CoRR abs/2007.03481 (2020) - [i2]Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy:
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference. CoRR abs/2008.01559 (2020)
2010 – 2019
- 2019
- [i1]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. CoRR abs/1910.11703 (2019) - 2018
- [c1]Kunal Pattanayak, Aritra Chatterjee, Merim Dzaferagic, Suvra Sekhar Das, Nicola Marchetti:
A Functional Complexity Framework for Dynamic Resource Allocation in VANETs. IWCMC 2018: 458-463
Coauthor Index
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