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Mastering Air Combat Game With Deep Reinforcement Learning

2023-05-11

Abstract excerpt

Reinforcement learning is used for air combat problems in recent years, and the idea of curriculum learning is often used for reinforcement learning, but traditional curriculum learning suffers from the problem of plasticity loss in neural networks. Plasticity loss is the difficulty of learning new knowledge after the network has converged. To this end, we propose a motivational curriculum learning distributed pro...

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Literature Corpus work
cdcdf1d9-f021-5890-9725-b13bff9755ab
DOI
10.20944/preprints202305.0862.v1
Open publication

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Mastering Air Combat Game With Deep Reinforcement LearningDOI 10.20944/preprints202305.0862.v1
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