This paper introduces an interface platform to visualize location-specific media on lightweight displays that are placed and moved over a two dimensional map. The position of each...
Current internet applications leave our physical presence and our real-world environment behind. This paper describes the development of several simple, inexpensive, internet-cont...
Realtime musical expression through synthesis is notoriously dicult. The complete potential of a sound engine is traditionally available only at design time. In this paper two mapp...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...