758 citations · 2.2k across the 33 of their papers we have counts for
4 papers · 1 filter
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
Miroslav Dudik, Dumitru Erhan, John Langford +1
We present and prove properties of a new offline policy evaluator for an exploration learning setting which is superior to previous evaluators. In particular, it simultaneously and…
A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games
Miroslav Dudik, Geoffrey Gordon
A central task of artificial intelligence is the design of artificial agents that act towards specified goals in partially observed environments. Since such environments frequently…
First-Order Mixed Integer Linear Programming
Geoffrey Gordon, Sue Ann Hong, Miroslav Dudik
Mixed integer linear programming (MILP) is a powerful representation often used to formulate decision-making problems under uncertainty. However, it lacks a natural mechanism to re…
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudík, Satyen Kale +2
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on the…