Ross, Stephane

13 publications

NeurIPS 2016 A Credit Assignment Compiler for Joint Prediction Kai-Wei Chang, He He, Stephane Ross, Hal Daume Iii, John Langford

ICML 2013 Learning Policies for Contextual Submodular Prediction Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell

UAI 2013 Normalized Online Learning Stéphane Ross, Paul Mineiro, John Langford

ICML 2012 Agnostic System Identification for Model-Based Reinforcement Learning Stéphane Ross, Drew Bagnell

JMLR 2011 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann

AISTATS 2011 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stephane Ross, Geoffrey Gordon, Drew Bagnell

CVPR 2011 Learning Message-Passing Inference Machines for Structured Prediction Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell

AISTATS 2010 Efficient Reductions for Imitation Learning Stephane Ross, Drew Bagnell

UAI 2008 Model-Based Bayesian Reinforcement Learning in Large Structured Domains Stéphane Ross, Joelle Pineau

JAIR 2008 Online Planning Algorithms for POMDPs Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa

IJCAI 2007 AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs Stéphane Ross, Brahim Chaib-draa

NeurIPS 2007 Bayes-Adaptive POMDPs Stephane Ross, Brahim Chaib-draa, Joelle Pineau

NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs Stephane Ross, Joelle Pineau, Brahim Chaib-draa