CAR-DESPOT: causally-informed online POMDP planning for robots in confounded environments
Robots operating in real-world environments must reason about possible outcomes of stochastic actions and make decisions based on partial observations of the true world state. A major challenge for making accurate and robust action predictions is the problem of confounding, which if left untreated c...
| Auteurs principaux: | , |
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| Format: | Conference item |
| Langue: | English |
| Publié: |
IEEE
2023
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