Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Abstract. An algorithm for simulating diffuse interreflection in complex three dimensional scenes is described. It combines techniques from hierarchical radiosity and multiresolut...
Andrew J. Willmott, Paul S. Heckbert, Michael Garl...
Abstract. Enterprises are finding limitations with current modelling and hierarchical methodologies which have human agents as a key component. By requiring a priori knowledge of b...
In this work, we study the different buffering techniques used in the literature to solve the contention problem in A TM switching architectures. The objective of our study is to ...
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...