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 ...
A vital goal of instruction is to enable learners to transfer acquired knowledge to appropriate future situations. For elementary school children in middle-high-SES schools, “exp...
Stephanie Siler, David Klahr, Cressida Magaro, Kev...
This work justifies several quantum gate level fault models and discusses the causal error mechanisms thwarting correct function. A quantum adaptation of the classical test set gen...
Jacob D. Biamonte, Jeff S. Allen, Marek A. Perkows...
Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majori...
Recently Victor Shoup noted that there is a gap in the widely-believed security result of OAEP against adaptive chosen-ciphertext attacks. Moreover, he showed that, presumably, OA...
Eiichiro Fujisaki, Tatsuaki Okamoto, David Pointch...