Research on the Reward Design Method for Deep Reinforcement Learning in WVR Air Combat
Deep reinforcement learning (DRL) can significantly improve the autonomy and effectiveness of air combat maneuver decision (ACMD). The design of reward functions faces significant challenges due to the long duration and large state space of air combat. Most existing methods rely on subjective judgme...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10777032/ |
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