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BibTeX record conf/icmla/AnandKAGG22
@inproceedings{DBLP:conf/icmla/AnandKAGG22, author = {Akhil S. Anand and Jens Erik Kveen and Fares J. Abu{-}Dakka and Esten Ingar Gr{\o}tli and Jan Tommy Gravdahl}, editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan}, title = {Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning}, booktitle = {21st {IEEE} International Conference on Machine Learning and Applications, {ICMLA} 2022, Nassau, Bahamas, December 12-14, 2022}, pages = {1--6}, publisher = {{IEEE}}, year = {2022}, url = {https://doi.org/10.1109/ICMLA55696.2022.00009}, doi = {10.1109/ICMLA55696.2022.00009}, timestamp = {Tue, 07 May 2024 20:07:21 +0200}, biburl = {https://dblp.org/rec/conf/icmla/AnandKAGG22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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