Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
The database community is on a constant quest for better integration of data management and knowledge management. Recently, with the increasing use of ontology in various applicat...
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
There are many algorithms for concurrent garbage collection, but they are complex to describe, verify, and implement. This has resulted in a poor understanding of the relationships...
Martin T. Vechev, David F. Bacon, Perry Cheng, Dav...
— There are many communication imperfections in networked control systems (NCSs) such as varying sampling/transmission intervals, varying delays, possible packet loss, communicat...
W. P. M. H. Heemels, Dragan Nesic, Andrew R. Teel,...