In this paper, we present the first results of a research aiming at developing an intelligent agent able to interact with users in public spaces through a touch screen or a person...
Addolorata Cavalluzzi, Berardina De Carolis, Sebas...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
The growing deployment rate of wireless LANs indicates that wireless networking is rapidly becoming a prevalent form of communication. As users become more accustomed to the use o...
Yuan Sun, Elizabeth M. Belding-Royer, Charles E. P...
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
We consider the problem of designing automated strategies for interactions with human subjects, where the humans must be rewarded for performing certain tasks of interest. We focu...