Reinforcement learning for two-aircraft conflict resolution in the presence of uncertainty
Recently, the advances in reinforcement learning have enabled an artificial intelligent agent to solve many challenging problems (e.g. AlphaGo) at unprecedented levels. However, the robustness of reinforcement learning in safety critical operation remains unclear. In this work, the applicability of...
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Main Authors: | , , , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/144709 |
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Institution: | Nanyang Technological University |
Language: | English |
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