Kavosh Asadi Education Present Ph.D. in Computer Science, Brown University Supervisor: Michael L. Littman 2015 M.Sc. in Computer Science, University of Alberta Supervisor: Richard S. Sutton 2013 B.E. in Computer Engineering, University of Tehran Publications 2020 Kavosh Asadi, Ronald E. Parr, George D. Konidaris, Michael L. Littman, "Deep RBF Value Functions for Continuous Control", Arxiv Submission 2020 Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emanuel Rachelson, Michael L. Littman, "Lipschitz Lifelong Reinforcement Learning", Arxiv Submission 2019 Seungchan Kim, Kavosh Asadi, George D. Konidaris, Michael L. Littman, "DeepMellow: Removing the Need for a Target Network in Deep Q-Learning", In 28th International Joint Conference on Artificial Intelligence 2019 David Abel, Dilip Arumugum, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong, "State Abstraction as Compression in Apprenticeship Learning", In 33rd AAAI Conference on Artificial Intelligence 2018 Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman, “Towards a Simple Approach to Multi-step Model-based Reinforcement Learning", In Neurips Workshop on Deep Reinforcement Learning 2018 Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman, “Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning", In ICML Workshop on Prediction and Generative Modeling in Reinforcement Learning 2018 Kavosh Asadi, Dipendra Misra, Michael L. Littman, “Lipschitz Continuity in Model-based Reinforcement Learning", In 35th International Conference on Machine Learning (ICML) 2017 Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George D. Konidaris, Michael L. Littman “Mean Actor Critic", Arxiv Submission 2017 Jason D. Williams, Kavosh Asadi, Geoff Zweig, “Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning", In the 55th Annual Meeting of the Association for Computational Linguistics (ACL) 2017 Kavosh Asadi, Michael L. Littman, “An Alternative Softmax Operator for Reinforcement Learning", In the 34th International Conference on Machine Learning (ICML) B [email protected] 1/2