Jilles Dibangoye
- Artificial Intelligence top 10%
- Automotive Engineering
- Computer Networks and Communications
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Christopher AmatoOlivier BuffetFrançois CharpilletShlomo ZilbersteinOlivier SimoninDavid GonzálezChristian LaugierLaëtitia Matignon
- Topics
- Reinforcement Learning in Robotics (10 papers)Bayesian Modeling and Causal Inference (5 papers)Adaptive Dynamic Programming Control (3 papers)
- Journals
- European Journal of Operational ResearchIEEE Transactions on Intelligent Transportation SystemsIEEE Internet of Things Journal
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Jilles Dibangoye
20 papers receiving 236 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 124
- Automotive Engineering 54
- Computer Networks and Communications 50
- Control and Systems Engineering 48
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Jilles Dibangoye
This map shows the geographic impact of Jilles Dibangoye'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 Jilles Dibangoye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jilles Dibangoye more than expected).
Fields of papers citing papers by Jilles Dibangoye
This network shows the impact of papers produced by Jilles Dibangoye. 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 Jilles Dibangoye. The network helps show where Jilles Dibangoye may publish in the future.
Co-authorship network of co-authors of Jilles Dibangoye
This figure shows the co-authorship network connecting the top 25 collaborators of Jilles Dibangoye. A scholar is included among the top collaborators of Jilles Dibangoye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jilles Dibangoye. Jilles Dibangoye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 38 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions | 5 |
| 13 | 11 | |
| 14 | 26 | |
| 15 | 52 | |
| 16 | 21 | |
| 17 | Optimally solving Dec-POMDPs as continuous-state MDPs | 9 |
| 18 | Scaling up decentralized MDPs through heuristic search | 2 |
| 19 | Topological order planner for POMDPs | 10 |
| 20 | A Novel Prioritization Technique for Solving Markov Decision Processes | 5 |
About Jilles Dibangoye
Jilles Dibangoye is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Automotive Engineering, having authored 21 papers that have together received 246 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Bayesian Modeling and Causal Inference (5 papers) and Adaptive Dynamic Programming Control (3 papers). The work is most often cited by research in Automotive Engineering (54 citations), Artificial Intelligence (124 citations) and Management Science and Operations Research (30 citations). Jilles Dibangoye has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Christopher Amato, Olivier Buffet, François Charpillet, Shlomo Zilberstein, Olivier Simonin, David González, Christian Laugier, Laëtitia Matignon, Abdel‐Illah Mouaddib and Frédéric Colas. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.
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.