12 citations · 19 across the 9 of their papers we have counts for
3 papers · 1 filter
Machine learning reveals how personalized climate communication can both succeed and backfire
Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi +3
Different advertising messages work for different people. Machine learning can be an effective way to personalise climate communications. In this paper we use machine learning to r…
Playing Angry Birds with a Domain-Independent PDDL+ Planner
Wiktor Piotrowski, Roni Stern, Matthew Klenk +4
This demo paper presents the first system for playing the popular Angry Birds game using a domain-independent planner. Our system models Angry Birds levels using PDDL+, a planning…
Unpacking Human Teachers' Intentions For Natural Interactive Task Learning
Preeti Ramaraj, Charles L. Ortiz, Shiwali Mohan
Interactive Task Learning (ITL) is an emerging research agenda that studies the design of complex intelligent robots that can acquire new knowledge through natural human teacher-ro…