The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
LOGO has been evolving in incremental steps for 40 years. This has resulted in steady progress but some regions of the space of all programming languages for children cannot be re...
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...