Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning
This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a mobile sensor, known as STE problems, is challenging due to environmental turbulence and sensor noise. To addr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11004010/ |
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