Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
This paper describes the ℒ script D sign ℒ++ system and the research advances that have enabled its design and development. We begin by discussing the new nonmonotonic and nondeterministic constructs that extend the functionality of the ℒ script D sign ℒ++ language, while preserving its model-theoretic and fixpoint semantics. Then, we describe the execution model and the open architecture designed to support these new constructs and to facilitate the integration with existing DBMSs and applications. Finally, we describe the lessons learned by using ℒ script D sign ℒ++ on various tested applications, such as middleware and datamining.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
C.A. Micchelli, W.L. Miranker
Journal of the ACM
Kenneth L. Clarkson, Elad Hazan, et al.
Journal of the ACM
Shai Fine, Yishay Mansour
Machine Learning