MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environments

Conference paper (2018)

Authors

Sammie Katt Northeastern University
F.A. Oliehoek Interactive Intelligence - EEMCS
Christopher Amato Northeastern University
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2018 Sammie Katt, F.A. Oliehoek, Christopher Amato
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Files

Katt18RLPO.pdf
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