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 (8 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)Debadeepta Dey (1 shared paper)Andreas Wendel (1 shared paper)
- Journals
- Journal of Machine Learning Research (1 paper)Journal of Artificial Intelligence Research (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)arXiv (Cornell University) (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
17 papers receiving 982 citations
Stéphane Ross's Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 620
- Computer Vision and Pattern Recognition 367
- Aerospace Engineering 212
- Control and Systems Engineering 194
- Automotive Engineering 85
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 | 2008 | 308 | |
| 2 | Learning monocular reactive UAV control in cluttered natural environments Hit paper breakdown → | 2013 | 254 |
| 3 | 2018 | 132 | |
| 4 | Bayes-Adaptive POMDPs | 2007 | 57 |
| 5 | A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes | 2011 | 55 |
| 6 | No-Regret Reductions for Imitation Learning and Structured Prediction | 2010 | 43 |
| 7 | 2011 | 43 | |
| 8 | AEMS: an anytime online search algorithm for approximate policy refinement in large POMDPs | 2007 | 42 |
| 9 | 2008 | 37 | |
| 10 | 2009 | 17 | |
| 11 | Theoretical Analysis of Heuristic Search Methods for Online POMDPs. | 2008 | 14 |
| 12 | Agnostic System Identification for Model-Based Reinforcement Learning | 2012 | 13 |
| 13 | 1999 | 8 | |
| 14 | A Credit Assignment Compiler for Joint Prediction | 2016 | 5 |
| 15 | 2013 | 4 | |
| 16 | 2009 | 3 | |
| 17 | Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. | 2008 | 1 |
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 17 papers that have together received 1.0k 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), Data Stream Mining Techniques (2 papers), Optimization and Search Problems (2 papers), Fault Detection and Control Systems (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (620 citations), Computer Vision and Pattern Recognition (367 citations), Aerospace Engineering (212 citations), Control and Systems Engineering (194 citations) and Automotive Engineering (85 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, Debadeepta Dey, Andreas Wendel, Kumar Shaurya Shankar and Geoffrey J. Gordon. Their work appears in journals such as Journal of Machine Learning Research, Journal of Artificial Intelligence Research, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), arXiv (Cornell University) 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.