Safe POMDP online planning among dynamic agents via adaptive conformal prediction
Online planning for partially observable Markov decision processes (POMDPs) provides efficient techniques for robot decision-making under uncertainty. However, existing methods fall short of preventing safety violations in dynamic environments. This letter presents a novel safe POMDP online planning...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2024
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