RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Abstract. PatchMatch is a fast algorithm for computing dense approximate nearest neighbor correspondences between patches of two image regions [1]. This paper generalizes PatchMatc...
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
The CLOCK algorithm is a popular buffer replacement algorithm becauseof its simplicity and its ability to approximate the performance of the Least Recently Used (LRU) replacement ...
Underwater communication is a challenging topic due to its singular channel characteristics. Most protocols used in terrestrial wireless communication can not be directly applied i...
Hongkun Yang, Bin Liu, Fengyuan Ren, Hao Wen, Chua...