14 citations · 19 across the 3 of their papers we have counts for
3 papers
Recommending to Strategic Users
Andreas Haupt, Dylan Hadfield-Menell, Chara Podimata
Recommendation systems are pervasive in the digital economy. An important assumption in many deployed systems is that user consumption reflects user preferences in a static sense:…
Towards Psychologically-Grounded Dynamic Preference Models
Mihaela Curmei, Andreas Haupt, Dylan Hadfield-Menell +1
Designing recommendation systems that serve content aligned with time varying preferences requires proper accounting of the feedback effects of recommendations on human behavior an…
Guided Imitation of Task and Motion Planning
Michael James McDonald, Dylan Hadfield-Menell
While modern policy optimization methods can do complex manipulation from sensory data, they struggle on problems with extended time horizons and multiple sub-goals. On the other h…