{"status":"public","author":[{"id":"66937","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","last_name":"Ramaswamy","full_name":"Ramaswamy, Arunselvan"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129"}],"date_updated":"2022-01-06T06:56:08Z","_id":"24148","language":[{"iso":"eng"}],"year":"2021","type":"journal_article","publication":"IEEE Transactions on Artificial Intelligence (to appear)","title":"Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis","date_created":"2021-09-10T10:03:25Z","citation":{"short":"A. Ramaswamy, E. Hüllermeier, IEEE Transactions on Artificial Intelligence (to Appear) (2021).","mla":"Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” <i>IEEE Transactions on Artificial Intelligence (to Appear)</i>, 2021.","bibtex":"@article{Ramaswamy_Hüllermeier_2021, title={Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis}, journal={IEEE Transactions on Artificial Intelligence (to appear)}, author={Ramaswamy, Arunselvan and Hüllermeier, Eyke}, year={2021} }","chicago":"Ramaswamy, Arunselvan, and Eyke Hüllermeier. “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis.” <i>IEEE Transactions on Artificial Intelligence (to Appear)</i>, 2021.","ieee":"A. Ramaswamy and E. Hüllermeier, “Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis,” <i>IEEE Transactions on Artificial Intelligence (to appear)</i>, 2021.","ama":"Ramaswamy A, Hüllermeier E. Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis. <i>IEEE Transactions on Artificial Intelligence (to appear)</i>. Published online 2021.","apa":"Ramaswamy, A., &#38; Hüllermeier, E. (2021). Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis. <i>IEEE Transactions on Artificial Intelligence (to Appear)</i>."},"user_id":"66937"}