Recognition and interfere deceptive behavior based on inverse reinforcement learning and game theory-Reference-Cited by-同舟云学术

Recognition and interfere deceptive behavior based on inverse reinforcement learning and game theory

Published:2023-04 Issue:2 Volume:34 Page:270-288
ISSN:1004-4132
Container-title:Journal of Systems Engineering and Electronics
language:
Short-container-title:J. of Syst. Eng. Electron.

Author:

Zeng Yunxiu¹,Xu Kai¹

Affiliation:

1. College of Systems Engineering, National University of Defense Technology,Changsha,China,410073

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://xplorestaging.ieee.org/ielx7/5971804/10125082/10018320.pdf?arnumber=10018320

Reference26 articles.

1. Goal recognition for rational and irrational agents;masters;Proc of International Conference on Autonomous Agents and Multiagent Systems,0

2. Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior

3. A two-layer semi-Markov model for recognizing the destination of a moving agent

4. Extended goal recognition: a planning-based model for strategic deception;masters;Proc of International Conference on Autonomous Agents and Multiagent Systems,0

5. "Superstition" in the Network: Deep Reinforcement Learning Plays Deceptive Games

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