Stéphane Ross
Impact in
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
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- Robotic Path Planning Algorithms
Papers in
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- Reinforcement Learning in Robotics 11
- Machine Learning and Algorithms 7
- Bayesian Modeling and Causal Inference 3
- Data Stream Mining Techniques 2
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- Advanced Bandit Algorithms Research 3
- Co-authors
- Brahim Chaib-draa (9 shared papers)Joëlle Pineau (6 shared papers)S. Paquet (1 shared paper)Drew Bagnell (2 shared papers)J. Andrew Bagnell (3 shared papers)Martial Hebert (2 shared papers)Andreas Wendel (1 shared paper)Kumar Shaurya Shankar (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (1 paper)Journal of Machine Learning Research (1 paper)Lecture notes in computer science (1 paper)Figshare (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Stéphane Ross
18 papers receiving 1.1k citations
Stéphane Ross's Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 717
- Computer Vision and Pattern Recognition 413
- Control and Systems Engineering 221
- Aerospace Engineering 233
- Automotive Engineering 94
Countries citing papers authored by Stéphane Ross
This map shows the geographic impact of Stéphane Ross's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stéphane Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Ross more than expected).
Fields of papers citing papers by Stéphane Ross
This network shows the impact of papers produced by Stéphane Ross. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stéphane Ross. The network helps show where Stéphane Ross may publish in the future.
Co-authors
The 20 scholars most cited alongside Stéphane Ross, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Online Planning Algorithms for POMDPs Hit paper breakdown → | 2008 | 347 |
| 2 | Learning monocular reactive UAV control in cluttered natural environments Hit paper breakdown → | 2013 | 274 |
| 3 | 2018 | 150 | |
| 4 | A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes | 2011 | 67 |
| 5 | Bayes-Adaptive POMDPs | 2007 | 66 |
| 6 | 2011 | 51 | |
| 7 | No-Regret Reductions for Imitation Learning and Structured Prediction | 2010 | 45 |
| 8 | 2008 | 44 | |
| 9 | AEMS: an anytime online search algorithm for approximate policy refinement in large POMDPs | 2007 | 44 |
| 10 | 2006 | 37 | |
| 11 | 2009 | 20 | |
| 12 | Theoretical Analysis of Heuristic Search Methods for Online POMDPs. | 2008 | 15 |
| 13 | Agnostic System Identification for Model-Based Reinforcement Learning | 2012 | 14 |
| 14 | 1999 | 9 | |
| 15 | A Credit Assignment Compiler for Joint Prediction | 2016 | 5 |
| 16 | 2009 | 4 | |
| 17 | 2013 | 4 | |
| 18 | Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. | 2008 | 3 |
About Stéphane Ross
Stéphane Ross is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Machine Learning and Algorithms (7 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Bandit Algorithms Research (3 papers), Robotic Path Planning Algorithms (2 papers), Optimization and Search Problems (2 papers), Data Stream Mining Techniques (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Artificial Intelligence (717 citations), Computer Vision and Pattern Recognition (413 citations), Control and Systems Engineering (221 citations), Aerospace Engineering (233 citations) and Automotive Engineering (94 citations). Stéphane Ross has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Brahim Chaib-draa, Joëlle Pineau, S. Paquet, Drew Bagnell, J. Andrew Bagnell, Martial Hebert, Andreas Wendel, Kumar Shaurya Shankar, Debadeepta Dey and Geoffrey J. Gordon. Their work appears in journals such as Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Lecture notes in computer science, Figshare and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.