Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner
Author:
Affiliation:
1. Cornell University,School of Electrical and Computer Engineering,Ithaca,NY,USA,14853
2. Lockheed Martin Advanced Technology Laboratories,Cherry Hill,NJ,USA,08002
Funder
Lockheed Martin
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992959.pdf?arnumber=9992959
Reference26 articles.
1. Reinforcement Learning: An Introduction
2. Reinforcement Learning based Anti-jamming Frequency Hopping Strategies Design for Cognitive Radar
3. The Construction of Utility Functions from Expenditure Data
4. Non-Parametric Tests of Consumer Behaviour
5. Apprenticeship learning via inverse reinforcement learning
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3. Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner;IEEE Transactions on Aerospace and Electronic Systems;2023-12
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