Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Abstract. Floating mines are a significant threat to the safety of ships in theatres of military or terrorist conflict. Automating mine detection is difficult, due to the unpredict...
Zhaoyi Wei, Dah-Jye Lee, David Jilk, Robert B. Sch...
CooML is an object-oriented modeling language where specifications are theories in a constructive logic designed to handle incomplete information. In this logic we view snapshots ...
Mauro Ferrari, Camillo Fiorentini, Alberto Momigli...
Abstract. It has often been observed that a point-free style of programvides a more abstract view on programs. We aim to use the gain in abstraction to obtain a denotational semant...