Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engin...
In ongoing research, a collaborative peer network application is being proposed to address the scalability limitations of centralized search engines. Here we introduce a local ada...
Functional programming languages ought to play a central role in mathematics education for middle schools (age range: 10?14). After all, functional programming is a form of algebr...
Matthias Felleisen, Robert Bruce Findler, Matthew ...
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...