—This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environme...
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...