Doina Precup is affiliated with McGill University in Canada and has made extensive contributions to the field of computer science, specializing primarily in artificial intelligence. Their research spans a broad spectrum of topics, with a particular focus on reinforcement learning and its applications in robotics.
Major areas of study include:
Their work covers a range of specific topics related to machine learning and algorithm development:
Precup has collaborated frequently with several researchers, highlighting interdisciplinary and cooperative research efforts. Notable frequent co-authors include:
Their scholarly output has been published in various venues, with a strong presence in both conference proceedings and journals:
Recent papers authored or co-authored by Precup demonstrate engagement with current topics in reinforcement learning:
Overall, Precup's research integrates computational methods with practical applications in robotics and artificial intelligence, contributing to advancements in learning algorithms and their robustness.
Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer
Richard S. Sutton;Doina Precup;Satinder Singh
Peter Henderson;Riashat Islam;Philip Bachman;Joelle Pineau
Pierre-Luc Bacon;Jean Harb;Doina Precup
Doina Precup;Richard S. Sutton;Satinder P. Singh
Richard S. Sutton;Hamid Reza Maei;Doina Precup;Shalabh Bhatnagar
Scott Fujimoto;David Meger;Doina Precup
Unknown
Richard S. Sutton;Joseph Modayil;Michael Delp;Thomas Degris
Tanya Nair;Doina Precup;Douglas L. Arnold;Tal Arbel
Phil Bachman;Ouais Alsharif;Doina Precup
Doina Precup;Richard S. Sutton;Sanjoy Dasgupta
Martin Stolle;Doina Precup
David Silver;Satinder P. Singh;Doina Precup;Richard S. Sutton
Doina Precup;Richard S. Sutton
Shalabh Bhatnagar;Doina Precup;David Silver;Richard S Sutton
Volodymyr Kuleshov;Doina Precup
Norm Ferns;Prakash Panangaden;Doina Precup
Emmanuel Bengio;Pierre-Luc Bacon;Joelle Pineau;Doina Precup
Riashat Islam;Peter Henderson;Maziar Gomrokchi;Doina Precup
Khimya Khetarpal;Matthew Riemer;Irina Rish;Doina Precup
Doina Precup;Cosmin Paduraru;Anna Koop;Richard S Sutton
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science unlocks a variety of versatile career opportunities in technology and beyond. Many students also consider related fields that rank among the top 10 best majors for the future, such as Data Science, Information Technology, and Cybersecurity. These disciplines continue to offer strong job prospects and competitive salaries.
For those seeking advanced credentials, pursuing postgraduate degrees can enhance career growth. Some may prefer programs known to be less demanding yet still valuable. If you’re looking for flexible options, exploring easy masters degrees online can be a wise choice, especially while balancing work and family commitments.
Doctoral-level credentials can significantly advance your expertise. Many affordable choices exist, including cheap doctorate degree online programs that make top qualifications more accessible.
Additionally, if your focus is on education leadership, there are easiest edd programs available through fast-track online formats, presenting a pathway to rapid academic and career progression.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 41
University of Siegen
Swedish University of Agricultural Sciences
Hebrew University of Jerusalem
Brunel University London
Bangor University
University of California, Los Angeles
Macquarie University
Lund University
Cincinnati Children's Hospital Medical Center
University of California, Berkeley
Microsoft (United States)
German Cancer Research Center
Autonomous University of Madrid
University of Pardubice
Bank of Spain
Charité - University Medicine Berlin
