{"_id":"29662","language":[{"iso":"eng"}],"publication":"arXiv preprint arXiv:2105.08990","author":[{"id":"52638","first_name":"Maximilian","last_name":"Schenke","full_name":"Schenke, Maximilian","orcid":"0000-0001-5427-9527"},{"orcid":"https://orcid.org/0000-0001-9362-8777","full_name":"Wallscheid, Oliver","last_name":"Wallscheid","first_name":"Oliver","id":"11291"}],"year":"2021","title":"Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning","department":[{"_id":"52"},{"_id":"57"}],"user_id":"11291","type":"journal_article","status":"public","date_created":"2022-01-28T14:11:08Z","date_updated":"2022-02-25T20:31:17Z","citation":{"apa":"Schenke, M., &#38; Wallscheid, O. (2021). Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. <i>ArXiv Preprint ArXiv:2105.08990</i>.","mla":"Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” <i>ArXiv Preprint ArXiv:2105.08990</i>, 2021.","ieee":"M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” <i>arXiv preprint arXiv:2105.08990</i>, 2021.","bibtex":"@article{Schenke_Wallscheid_2021, title={Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning}, journal={arXiv preprint arXiv:2105.08990}, author={Schenke, Maximilian and Wallscheid, Oliver}, year={2021} }","chicago":"Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” <i>ArXiv Preprint ArXiv:2105.08990</i>, 2021.","short":"M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).","ama":"Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. <i>arXiv preprint arXiv:210508990</i>. Published online 2021."}}