1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
Subhojyoti Mukherjee, Josiah P. Hanna, Robert Nowak
In this paper, we study safe data collection for the purpose of policy evaluation in tabular Markov decision processes (MDPs). In policy evaluation, we are given a \textit{target}…
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna +1
We study multi-task representation learning for the problem of pure exploration in bilinear bandits. In bilinear bandits, an action takes the form of a pair of arms from two differ…