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

Sammie Katt, Frans A. Oliehoek, and Christopher Amato. MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environments. In NeurIPS Workshop on Reinforcement Learning under Partial Observability, December 2018.

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BibTeX Entry

@inproceedings{Katt18RLPO,
    title =     {{MCTS} on model-based Bayesian {Reinforcement}
                Learning for efficient learning in Partially Observable environments},
    author =    {Sammie Katt and Frans A. Oliehoek and Christopher Amato},
    booktitle = {NeurIPS Workshop on Reinforcement Learning under Partial Observability},
    year =      2018,
    month =     dec,
    url =       {https://sites.google.com/site/rlponips2018/home},
    keywords =   {refereed, workshop},
}

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