Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games. - Stéphane Ross; Brahim Chaib-draa (Canadian AI, 2006)

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

Bayes-Adaptive POMDPs. - Stéphane Ross; Brahim Chaib-draa; Joelle Pineau (NIPS, 2007)

Theoretical Analysis of Heuristic Search Methods for Online POMDPs. - Stéphane Ross; Joelle Pineau; Brahim Chaib-draa (NIPS, 2007)

Bayesian reinforcement learning in continuous POMDPs with application to robot navigation. - Stéphane Ross; Brahim Chaib-draa; Joelle Pineau (ICRA, 2008)

Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. - Joelle Pineau; Stéphane Ross; Brahim Chaib-draa (ISAIM, 2008)

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

Online Planning Algorithms for POMDPs. - Stéphane Ross; Joelle Pineau; Sébastien Paquet; Brahim Chaib-draa (J. Artif. Intell. Res., 2008)

Sensitivity Analysis of POMDP Value Functions. - Stéphane Ross; Masoumeh T. Izadi; Mark Mercer; David L. Buckeridge (ICMLA, 2009)

Bayesian reinforcement learning in continuous POMDPs with gaussian processes. - Patrick Dallaire; Camille Besse; Stéphane Ross; Brahim Chaib-draa (IROS, 2009)

No-Regret Reductions for Imitation Learning and Structured Prediction - Stéphane Ross; Geoffrey J. Gordon; J. Andrew Bagnell (CoRR, 2010)

Efficient Reductions for Imitation Learning. - Stéphane Ross; Drew Bagnell (AISTATS, 2010)

Learning message-passing inference machines for structured prediction. - Stéphane Ross; Daniel Munoz; Martial Hebert; J. Andrew Bagnell (CVPR, 2011)

Stability Conditions for Online Learnability - Stéphane Ross; J. Andrew Bagnell (CoRR, 2011)

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. - Stéphane Ross; Geoffrey J. Gordon; Drew Bagnell (AISTATS, 2011)

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes. - Stéphane Ross; Joelle Pineau; Brahim Chaib-draa; Pierre Kreitmann (J. Mach. Learn. Res., 2011)

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

Learning Policies for Contextual Submodular Prediction. - Stéphane Ross; Jiaji Zhou; Yisong Yue; Debadeepta Dey; Drew Bagnell (ICML (3), 2013)

Learning monocular reactive UAV control in cluttered natural environments. - Stéphane Ross; Narek Melik-Barkhudarov; Kumar Shaurya Shankar; Andreas Wendel; Debadeepta Dey; J. Andrew Bagnell; Martial Hebert (ICRA, 2013)

Normalized Online Learning. - Stéphane Ross; Paul Mineiro; John Langford 001 (UAI, 2013)

Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. - Jiaji Zhou; Stéphane Ross; Yisong Yue; Debadeepta Dey; J. Andrew Bagnell (CoRR, 2013)

Interactive Learning for Sequential Decisions and Predictions. - Stéphane Ross (2013)

Efficient programmable learning to search. - Hal Daumé III; John Langford 001; Stéphane Ross (CoRR, 2014)

Reinforcement and Imitation Learning via Interactive No-Regret Learning. - Stéphane Ross; J. Andrew Bagnell (CoRR, 2014)

A Credit Assignment Compiler for Joint Prediction. - Kai-Wei Chang; He He 001; Stéphane Ross; Hal Daumé III; John Langford 001 (NIPS, 2016)

Agent Prioritization for Autonomous Navigation. - Khaled S. Refaat; Kai Ding; Natalia Ponomareva 001; Stéphane Ross (IROS, 2019)