%0 Conference Paper %1 conf/mabs/BaratKGKMBK19 %A Barat, Souvik %A Kumar, Prashant %A Gajrani, Monika %A Khadilkar, Harshad %A Meisheri, Hardik %A Baniwal, Vinita %A Kulkarni, Vinay %B MABS %D 2019 %E Paolucci, Mario %E Sichman, Jaime Simão %E Verhagen, Harko %I Springer %K dblp %P 26-38 %T Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation. %U http://dblp.uni-trier.de/db/conf/mabs/mabs2019.html#BaratKGKMBK19 %V 12025 %@ 978-3-030-60843-9

@inproceedings{conf/mabs/BaratKGKMBK19, added-at = {2020-11-14T00:00:00.000+0100}, author = {Barat, Souvik and Kumar, Prashant and Gajrani, Monika and Khadilkar, Harshad and Meisheri, Hardik and Baniwal, Vinita and Kulkarni, Vinay}, biburl = {https://www.bibsonomy.org/bibtex/25050da624bd323dffafb27d47353b924/dblp}, booktitle = {MABS}, crossref = {conf/mabs/2019}, editor = {Paolucci, Mario and Sichman, Jaime Simão and Verhagen, Harko}, ee = {https://doi.org/10.1007/978-3-030-60843-9_3}, interhash = {e10cbfb8478ca306e83aaccb4131345e}, intrahash = {5050da624bd323dffafb27d47353b924}, isbn = {978-3-030-60843-9}, keywords = {dblp}, pages = {26-38}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2020-11-15T11:37:31.000+0100}, title = {Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation.}, url = {http://dblp.uni-trier.de/db/conf/mabs/mabs2019.html#BaratKGKMBK19}, volume = 12025, year = 2019 }