Incorporation of Military Doctrines and Objectives into an AI Agent Via Natural Language and Reward in Reinforcement Learning-Reference-Cited by-同舟云学术

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Incorporation of Military Doctrines and Objectives into an AI Agent Via Natural Language and Reward in Reinforcement Learning

Published:2023-12-10 Issue: Volume: Page:2357-2367
ISSN:
Container-title:2023 Winter Simulation Conference (WSC)
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Author:

Möbius Michael¹,Kallfass Daniel¹,Flock Matthias¹,Doll Thomas²,Kunde Dietmar³

Affiliation:

1. Airbus Defence and Space GmbH,Dept. Operational Analysis and Studies Claude-Dornier-Strasse,Immenstaad,Germany,88090

2. UAbt PlgStrg/Int,Joint Support Service Command Abt Plg,Bonn,Germany,53123

3. German Army Headquarters von-Hardenberg-Kaserne,Strausberg,Germany,15344

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406299/10407113/10408462.pdf?arnumber=10408462

Reference22 articles.

1. Generalising Discrete Action Spaces with Conditional Action Trees

2. OpenAI Gym;Brockman,2016

3. From the Game Map to the Battlefield - Using DeepMind’s Advanced AlphaStar Techniques to Support Military Decision-Makers;Doll

4. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale;Dosovitskiy,2020

5. Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language

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