Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Recently, many researchers have worked on tabletop systems. One issue with tabletop interfaces is how to control the table without using conventional desktop input devices such as ...
Aspect-oriented programming (AOP) provides assistance in modularizing concerns that crosscut the boundaries of system decomposition. Aspects have the potential to interact with ma...
Suman Roychoudhury, Jeff Gray, Jing Zhang, Purusho...
Abstract. In this paper we focus on explaining to humans the behavior of autonomous agents, i.e., explainable agents. Explainable agents are useful for many reasons including scena...
Joost Broekens, Maaike Harbers, Koen V. Hindriks, ...