516 citations · 800 across the 9 of their papers we have counts for
4 papers · 1 filter
Normalized Online Learning
Stephane Ross, Paul Mineiro, John Langford
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolut…
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stephane Ross, J. Andrew Bagnell
Recent work has demonstrated that problems-- particularly imitation learning and structured prediction-- where a learner's predictions influence the input-distribution it is tested…
A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Hal Daumé +2
Many machine learning applications involve jointly predicting multiple mutually dependent output variables. Learning to search is a family of methods where the complex decision pro…
Online Planning Algorithms for POMDPs
Stéphane Ross, Joelle Pineau, Sébastien Paquet +1
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP is…