Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Snow Luke¹,Krishnamurthy Vikram¹,Sadler Brian M.²

Affiliation:

1. Cornell University,Electrical and Computer Engineering,Ithaca,NY

2. DEVCOM Army Research Laboratory,Adelphi,MD

Funder

National Science Foundation

Arm

Air Force Office of Scientific Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096376.pdf?arnumber=10096376

Reference14 articles.

1. Survey of maneuvering target tracking. part i. dynamic models;li;IEEE Transactions on Aerospace and Electronic Systems,2003

2. The Revealed Preference Approach to Collective Consumption Behaviour: Testing and Sharing Rule Recovery

3. The Construction of Utility Functions from Expenditure Data

4. Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner;IEEE Transactions on Aerospace and Electronic Systems;2023-12

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