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Reinforcement learning is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. Recently reinforcement learning has been given abroad attention, but when it is applied to solve problems with large-scale discrete or contiguous state space environments, the results...
Analyzing similarity of access control policies is very important in many application sceneries, for example, conducting similarity analysis to reduce policy scale in cloud services composition, or through similar policies to find cloud services which have same function. Existing methods of policy similarity analysis are mainly based on logical reasoning or Boolean function comparison, which are computationally...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.