In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Reinforcement learning addresses the dilemma between exploration to find profitable actions and exploitation to act according to the best observations already made. Bandit proble...
This paper describes TEATRIX; a learning environment designed to help children, and their teachers, in the whole process of collaborative story creation. TEATRIX provides an enviro...
We apply XCS with computed prediction (XCSF) to tackle multistep reinforcement learning problems involving continuous inputs. In essence we use XCSF as a method of generalized rein...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
—We report a series of experiments conducted to investigate the effects of travel technique on information gathering and cognition in complex virtual environments. In the first e...
Evan A. Suma, Samantha L. Finkelstein, Myra Reid, ...