MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environments
Conference Paper
(2018)
Author(s)
Sammie Katt (Northeastern University)
Frans Oliehoek (TU Delft - Interactive Intelligence)
Christopher Amato (Northeastern University)
Research Group
Interactive Intelligence
To reference this document use:
https://resolver.tudelft.nl/uuid:cda5fff8-b221-4d7c-938c-d69758730e89
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Publication Year
2018
Language
English
Research Group
Interactive Intelligence
Bibliographical Note
Accepted author manuscript
Pages (from-to)
1-3
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