When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
The estimation of productivity rates in cyclic construction processes is a difficult, but essential task in the planning of construction projects. The conventional method--a calcu...
Many biological information systems rely on relational database management systems (RDBMS) to manage high-throughput biological data. While keeping these data well archived, organ...
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...