We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
Programming paradigms are often skewed towards a particular domain of problems, thus one effective way to utilize them is through a multiparadigm approach to software development....
Many developments have taken place within dataflow programming languages in the past decade. In particular, there has been a great deal of activity and advancement in the field of ...
Wesley M. Johnston, J. R. Paul Hanna, Richard J. M...
ContextL is an extension to the Common Lisp Object System that allows for Context-oriented Programming. It provides means to associate partial class and method definitions with l...
We propose a new computation model which combines the operational principles of functional languages (reduction), logic languages (non-deterministic search for solutions), and int...