This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
The creation of audio interfaces is currently hampered by the difficulty of designing sounds for them. This paper presents a novel system for generating and manipulating non-speec...
We present a domain-specific approach to representing datapaths for hardware implementations of linear signal transform algorithms. We extend the tensor structure for describing l...
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
We present a general approach to the dynamic representation of 2D space that is well suited for userinterface layout. We partition space into two distinct categories: full and emp...