Publications• Sorted by Date • Classified by Publication Type • Classified by Research Category • MCTS on model-based Bayesian Reinforcement Learning for efficient learning in Partially Observable environmentsSammie 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. DownloadAbstract(unavailable) 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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