31 citations · 32 across the 6 of their papers we have counts for
4 papers · 1 filter
Energy Estimation of Last Mile Electric Vehicle Routes
André Snoeck, Aniruddha Bhargava, Daniel Merchan +2
Last-mile carriers increasingly incorporate electric vehicles (EVs) into their delivery fleet to achieve sustainability goals. This goal presents many challenges across multiple pl…
Off-Policy Evaluation from Logged Human Feedback
Aniruddha Bhargava, Lalit Jain, Branislav Kveton +2
Learning from human feedback has been central to recent advances in artificial intelligence and machine learning. Since the collection of human feedback is costly, a natural questi…
Pessimistic Off-Policy Multi-Objective Optimization
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy +3
Multi-objective optimization is a type of decision making problems where multiple conflicting objectives are optimized. We study offline optimization of multi-objective policies fr…
Linear Bandits with Feature Feedback
Urvashi Oswal, Aniruddha Bhargava, Robert Nowak
This paper explores a new form of the linear bandit problem in which the algorithm receives the usual stochastic rewards as well as stochastic feedback about which features are rel…