A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Managing the configuration of heterogeneous enterprise security mechanisms is a wholly complex task. The effectiveness of a configuration may be constrained by poor understanding a...
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
Abstract. This paper presents and motivates an extended ontology conceptual model which represents explicitly semantic information about concepts. This model results from explicitl...
bstract or nonliving entities act or are described as living. And living things gain extra benefits such as animals talking. For this reason, the standard scripts are modified to a...