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Stéphane Ross
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2010 – 2019
- 2019
- [c18]Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross:
Agent Prioritization for Autonomous Navigation. IROS 2019: 2060-2067 - [i13]Khaled S. Refaat, Kai Ding, Natalia Ponomareva, Stéphane Ross:
Agent Prioritization for Autonomous Navigation. CoRR abs/1909.08792 (2019) - 2016
- [c17]Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford:
A Credit Assignment Compiler for Joint Prediction. NIPS 2016: 1705-1713 - 2014
- [i12]Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa:
Online Planning Algorithms for POMDPs. CoRR abs/1401.3436 (2014) - [i11]Hal Daumé III, John Langford, Stéphane Ross:
Efficient programmable learning to search. CoRR abs/1406.1837 (2014) - [i10]Stéphane Ross, J. Andrew Bagnell:
Reinforcement and Imitation Learning via Interactive No-Regret Learning. CoRR abs/1406.5979 (2014) - [i9]Stéphane Ross, Paul Mineiro, John Langford:
Normalized Online Learning. CoRR abs/1408.2065 (2014) - 2013
- [b1]Stéphane Ross:
Interactive Learning for Sequential Decisions and Predictions. Carnegie Mellon University, USA, 2013 - [c16]Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell:
Learning Policies for Contextual Submodular Prediction. ICML (3) 2013: 1364-1372 - [c15]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar
, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning monocular reactive UAV control in cluttered natural environments. ICRA 2013: 1765-1772 - [c14]Stéphane Ross, Paul Mineiro, John Langford:
Normalized Online Learning. UAI 2013 - [i8]Stéphane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell:
Learning Policies for Contextual Submodular Prediction. CoRR abs/1305.2532 (2013) - [i7]Stéphane Ross, Paul Mineiro, John Langford:
Normalized Online Learning. CoRR abs/1305.6646 (2013) - [i6]Jiaji Zhou, Stéphane Ross, Yisong Yue, Debadeepta Dey, J. Andrew Bagnell:
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization. CoRR abs/1308.3541 (2013) - 2012
- [c13]Stéphane Ross, Drew Bagnell:
Agnostic System Identification for Model-Based Reinforcement Learning. ICML 2012 - [i5]Stéphane Ross, J. Andrew Bagnell:
Agnostic System Identification for Model-Based Reinforcement Learning. CoRR abs/1203.1007 (2012) - [i4]Stéphane Ross, Joelle Pineau:
Model-Based Bayesian Reinforcement Learning in Large Structured Domains. CoRR abs/1206.3281 (2012) - [i3]Stéphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert:
Learning Monocular Reactive UAV Control in Cluttered Natural Environments. CoRR abs/1211.1690 (2012) - 2011
- [j2]Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann:
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes. J. Mach. Learn. Res. 12: 1729-1770 (2011) - [c12]Stéphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell:
Learning message-passing inference machines for structured prediction. CVPR 2011: 2737-2744 - [c11]Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell:
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. AISTATS 2011: 627-635 - [i2]Stéphane Ross, J. Andrew Bagnell:
Stability Conditions for Online Learnability. CoRR abs/1108.3154 (2011) - 2010
- [c10]Stéphane Ross, Drew Bagnell:
Efficient Reductions for Imitation Learning. AISTATS 2010: 661-668 - [i1]Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell:
No-Regret Reductions for Imitation Learning and Structured Prediction. CoRR abs/1011.0686 (2010)
2000 – 2009
- 2009
- [c9]Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge:
Sensitivity Analysis of POMDP Value Functions. ICMLA 2009: 317-323 - [c8]Patrick Dallaire, Camille Besse, Stéphane Ross, Brahim Chaib-draa
Bayesian reinforcement learning in continuous POMDPs with gaussian processes. IROS 2009: 2604-2609 - 2008
- [j1]Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa
Online Planning Algorithms for POMDPs. J. Artif. Intell. Res. 32: 663-704 (2008) - [c7]Stéphane Ross, Brahim Chaib-draa
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation. ICRA 2008: 2845-2851 - [c6]Joelle Pineau, Stéphane Ross, Brahim Chaib-draa:
Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. ISAIM 2008 - [c5]Stéphane Ross, Joelle Pineau:
Model-Based Bayesian Reinforcement Learning in Large Structured Domains. UAI 2008: 476-483 - 2007
- [c4]Stéphane Ross, Brahim Chaib-draa:
AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs. IJCAI 2007: 2592-2598 - [c3]Stéphane Ross, Brahim Chaib-draa, Joelle Pineau:
Bayes-Adaptive POMDPs. NIPS 2007: 1225-1232 - [c2]Stéphane Ross, Joelle Pineau, Brahim Chaib-draa:
Theoretical Analysis of Heuristic Search Methods for Online POMDPs. NIPS 2007: 1233-1240 - 2006
- [c1]Stéphane Ross, Brahim Chaib-draa
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games. Canadian AI 2006: 61-72
Coauthor Index
aka: Drew Bagnell
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