An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...
In this paper, we present a multi-layered architecture for spatial and temporal agents. The focus is laid on the declarativity of the approach, which makes agent scripts expressive...
Frieder Stolzenburg, Oliver Obst, Jan Murray, Bj&o...
Recent years have seen dramatic and sustained growth in the amount of genomic data being generated, including in late 1999 the first complete sequence of a human chromosome. The c...
Kevin Bryson, Michael Luck, Mike Joy, David T. Jon...
Production of reliable and flexible distributed applications is a growing area of interest and research. Various middleware technologies are often used as the communication infras...