This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
— A method commonly used for packet flow control over connections with long round-trip delays is “sliding windows”. In general, for a given loss rate, a larger window size a...
Evaluating and enforcing policies in large-scale networks is one of the most challenging and significant problems facing the network security community today. Current solutions ar...
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...