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BibTeX record conf/hicss/NahhasKT22
@inproceedings{DBLP:conf/hicss/NahhasKT22, author = {Abdulrahman Nahhas and Andrey Kharitonov and Klaus Turowski}, title = {Deep Reinforcement Learning Techniques For Solving Hybrid Flow Shop Scheduling Problems: Proximal Policy Optimization {(PPO)} and Asynchronous Advantage Actor-Critic {(A3C)}}, booktitle = {55th Hawaii International Conference on System Sciences, {HICSS} 2022, Virtual Event / Maui, Hawaii, USA, January 4-7, 2022}, pages = {1--10}, publisher = {ScholarSpace}, year = {2022}, url = {http://hdl.handle.net/10125/79538}, timestamp = {Wed, 11 May 2022 16:32:45 +0200}, biburl = {https://dblp.org/rec/conf/hicss/NahhasKT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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