: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...
In this paper, we report our findings on the impact of providing users with varying degrees of control in an automated interactive scheduling system. While automated scheduling te...
Jina Huh, Martha E. Pollack, Hadi Katebi, Karem A....
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...