Hierarchical Reinforcement Learning for Air Combat At DARPA's AlphaDogfight Trials-Reference-Cited by-同舟云学术

Hierarchical Reinforcement Learning for Air Combat At DARPA's AlphaDogfight Trials

Published:2022 Issue: Volume: Page:1-15
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Pope Adrian P.¹,Ide Jaime S.²^ORCID,Micovic Daria²,Diaz Henry²,Twedt Jason C.²,Alcedo Kevin²,Walker Thayne T.²,Rosenbluth David²,Ritholtz Lee¹,Javorsek Daniel³

Affiliation:

1. Primordial Labs, New Haven, CT, USA

2. Lockheed Martin Artificial Intelligence Center, Applied AI Team, Shelton, CT, USA

3. United States Air Force, Nellis Air Force Base, Las Vegas, NV, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/9184921/09950612.pdf?arnumber=9950612

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