Doina Precup
Impact in
- Artificial Intelligence top 0.1%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Machine Learning and Algorithms
- Adversarial Robustness in Machine Learning
-
- Advanced Bandit Algorithms Research
Papers in
-
- Reinforcement Learning in Robotics 81
- Machine Learning and Algorithms 23
- Bayesian Modeling and Causal Inference 13
- Evolutionary Algorithms and Applications 12
- Co-authors
- Richard S. SuttonSatinder SinghJoëlle PineauPhilip BachmanDavid MegerPeter HendersonRiashat IslamDavid Silver
- Journals
- Journal of Artificial Intelligence Research (3 papers)Machine Learning (2 papers)Artificial Intelligence (2 papers)Computer Vision and Image Understanding (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Doina Precup
183 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 4.0k
- Management Science and Operations Research 671
- Computational Theory and Mathematics 786
- Computer Vision and Pattern Recognition 970
- Control and Systems Engineering 1.0k
Countries citing papers authored by Doina Precup
This map shows the geographic impact of Doina Precup'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 Doina Precup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doina Precup more than expected).
Fields of papers citing papers by Doina Precup
This network shows the impact of papers produced by Doina Precup. 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 Doina Precup. The network helps show where Doina Precup may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Doina Precup, 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 | 2025 | 0 | |
| 2 | 2022 | 20 | |
| 3 | 2022 | 1 | |
| 4 | Value-driven Hindsight Modelling | 2020 | 1 |
| 5 | Temporally Extended Metrics for Markov Decision Processes. | 2019 | 1 |
| 6 | Learning proposals for sequential importance samplers using reinforced variational inference. | 2019 | 0 |
| 7 | Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning | 2018 | 6 |
| 8 | Convergent Tree Backup and Retrace with Function Approximation | 2018 | 4 |
| 9 | Basis refinement strategies for linear value function approximation in MDPs | 2015 | 2 |
| 10 | A new Q(lambda) with interim forward view and Monte Carlo equivalence | 2014 | 8 |
| 11 | Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. | 2011 | 1 |
| 12 | Reinforcement Learning using Kernel-Based Stochastic Factorization | 2011 | 21 |
| 13 | 2010 | 16 | |
| 14 | 2010 | 6 | |
| 15 | Wikispeedia: an online game for inferring semantic distances between concepts | 2009 | 49 |
| 16 | Fast image alignment using anytime algorithms | 2007 | 3 |
| 17 | Off-policy Learning with Options and Recognizers | 2005 | 5 |
| 18 | 2004 | 20 | |
| 19 | A planning algorithm for predictive state representations | 2003 | 10 |
| 20 | Eligibility Traces for Off-Policy Policy Evaluation | 2000 | 172 |
About Doina Precup
Doina Precup is a scholar working on Artificial Intelligence, Computational Mathematics, Management Science and Operations Research, Computational Theory and Mathematics and Endocrine and Autonomic Systems, having authored 194 papers that have together received 6.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (81 papers), Formal Methods in Verification (24 papers), Machine Learning and Algorithms (23 papers), Advanced Bandit Algorithms Research (22 papers), Bayesian Modeling and Causal Inference (13 papers), Evolutionary Algorithms and Applications (12 papers), Neonatal Respiratory Health Research (12 papers) and Neonatal and fetal brain pathology (11 papers). The work is most often cited by research in Artificial Intelligence (4.0k citations), Management Science and Operations Research (671 citations), Computational Theory and Mathematics (786 citations), Computer Vision and Pattern Recognition (970 citations) and Control and Systems Engineering (1.0k citations). Doina Precup has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Richard S. Sutton, Satinder Singh, Joëlle Pineau, Philip Bachman, David Meger, Peter Henderson, Riashat Islam, David Silver, Shie Mannor and Ouais Alsharif. Their work appears in journals such as Journal of Artificial Intelligence Research, Machine Learning, Artificial Intelligence, Computer Vision and Image Understanding and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.