Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
— Convoy driving on public highways is a useful phenomena which increases the safety and the throughput of the highway. We present an approach through which a wireless Convoy Dri...
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
The exploration problem is a central issue in mobile robotics. A complete terrain coverage is not practical if the environment is large with only a few small hotspots. This paper ...
Service Science is a new term for a new paradigm which aims at the solution of an obvious problem: How to make the increasing fusion of business and IT successful in a dynamically ...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...