3.4k citations · 9.9k across the 108 of their papers we have counts for
4 papers · 1 filter
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
This paper introduces new optimality-preserving operators on Q-functions. We first describe an operator for tabular representations, the consistent Bellman operator, which incorpor…
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis
Assaf Hallak, Aviv Tamar, Remi Munos +1
We consider the off-policy evaluation problem in Markov decision processes with function approximation. We propose a generalization of the recently introduced \emph{emphatic tempor…
Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits
Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh +3
In this paper, we study the problem of estimating uniformly well the mean values of several distributions given a finite budget of samples. If the variance of the distributions wer…
Cheap Bandits
Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko +1
We consider stochastic sequential learning problems where the learner can observe the \textit{average reward of several actions}. Such a setting is interesting in many applications…