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Agent Coordination ...
Agent Coordination in Air Combat Simulation using Multi-Agent Deep Reinforcement Learning
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- Källström, Johan, 1976- (författare)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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- Heintz, Fredrik, 1975- (författare)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten
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(creator_code:org_t)
- IEEE conference proceedings, 2020
- 2020
- Engelska.
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Ingår i: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). - : IEEE conference proceedings. - 9781728185279 - 9781728185262 ; , s. 2157-2164
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Abstract
Ämnesord
Stäng
- Simulation-based training has the potential to significantly improve training value in the air combat domain. However, synthetic opponents must be controlled by high-quality behavior models, in order to exhibit human-like behavior. Building such models by hand is recognized as a very challenging task. In this work, we study how multi-agent deep reinforcement learning can be used to construct behavior models for synthetic pilots in air combat simulation. We empirically evaluate a number of approaches in two air combat scenarios, and demonstrate that curriculum learning is a promising approach for handling the high-dimensional state space of the air combat domain, and that multi-objective learning can produce synthetic agents with diverse characteristics, which can stimulate human pilots in training.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- agent-based modeling; intelligent agents; machine learning; multi-agent systems
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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