This paper integrates research in robot programming and reasoning about action with research in model-based reasoning about physical systems to provide a capability for modeling an...
We have investigated the potential for using genetic programming to evolve compiler parsing and translation routines for processing arithmetic and logical expressions as they are ...
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
Java offers the real possibility that most programs can be written in a type-safe language. However, for Java to be broadly useful, it needs additional expressive power. This pape...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...