Doina Precup

Doina Precup

McGill University

H-index: 63

North America-Canada

About Doina Precup

Doina Precup, With an exceptional h-index of 63 and a recent h-index of 52 (since 2020), a distinguished researcher at McGill University, specializes in the field of Artificial Intelligence, machine learning, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Privacy of Selection Mechanisms with Gaussian Noise

Mixtures of Experts Unlock Parameter Scaling for Deep RL

On learning history-based policies for controlling Markov decision processes

QGFN: Controllable Greediness with Action Values

Prediction and Control in Continual Reinforcement Learning

Mudiff: Unified diffusion for complete molecule generation

Code as Reward: Empowering Reinforcement Learning with VLMs

A definition of continual reinforcement learning

Doina Precup Information

University

Position

DeepMind and

Citations(all)

30926

Citations(since 2020)

21964

Cited By

16138

hIndex(all)

63

hIndex(since 2020)

52

i10Index(all)

219

i10Index(since 2020)

169

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Doina Precup Skills & Research Interests

Artificial Intelligence

machine learning

reinforcement learning

Top articles of Doina Precup

Title

Journal

Author(s)

Publication Date

On the Privacy of Selection Mechanisms with Gaussian Noise

arXiv preprint arXiv:2402.06137

Jonathan Lebensold

Doina Precup

Borja Balle

2024/2/9

Mixtures of Experts Unlock Parameter Scaling for Deep RL

arXiv preprint arXiv:2402.08609

Johan Obando-Ceron

Ghada Sokar

Timon Willi

Clare Lyle

Jesse Farebrother

...

2024/2/13

On learning history-based policies for controlling Markov decision processes

Gandharv Patil

Aditya Mahajan

Doina Precup

2024/4/18

QGFN: Controllable Greediness with Action Values

arXiv preprint arXiv:2402.05234

Elaine Lau

Stephen Zhewen Lu

Ling Pan

Doina Precup

Emmanuel Bengio

2024/2/7

Prediction and Control in Continual Reinforcement Learning

Advances in Neural Information Processing Systems

Nishanth Anand

Doina Precup

2024/2/13

Mudiff: Unified diffusion for complete molecule generation

Chenqing Hua

Sitao Luan

Minkai Xu

Zhitao Ying

Jie Fu

...

2024/4/17

Code as Reward: Empowering Reinforcement Learning with VLMs

arXiv preprint arXiv:2402.04764

David Venuto

Sami Nur Islam

Martin Klissarov

Doina Precup

Sherry Yang

...

2024/2/7

A definition of continual reinforcement learning

Advances in Neural Information Processing Systems

David Abel

André Barreto

Benjamin Van Roy

Doina Precup

Hado P van Hasselt

...

2024/2/13

Cryceleb: a speaker verification dataset based on infant cry sounds

David Budaghyan

Charles C Onu

Arsenii Gorin

Cem Subakan

Doina Precup

2024/4/14

Effective Protein-Protein Interaction Exploration with PPIretrieval

arXiv preprint arXiv:2402.03675

Chenqing Hua

Connor Coley

Guy Wolf

Doina Precup

Shuangjia Zheng

2024/2/6

For sale: State-action representation learning for deep reinforcement learning

Advances in Neural Information Processing Systems

Scott Fujimoto

Wei-Di Chang

Edward Smith

Shixiang Shane Gu

Doina Precup

...

2024/2/13

Offline Multitask Representation Learning for Reinforcement Learning

arXiv preprint arXiv:2403.11574

Haque Ishfaq

Thanh Nguyen-Tang

Songtao Feng

Raman Arora

Mengdi Wang

...

2024/3/18

Device-free localization methods within smart indoor environments

2024/1/25

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability

Sitao Luan

Chenqing Hua

Minkai Xu

Qincheng Lu

Jiaqi Zhu

...

2023/9/22

Discrete Probabilistic Inference as Control in Multi-path Environments

arXiv preprint arXiv:2402.10309

Tristan Deleu

Padideh Nouri

Nikolay Malkin

Doina Precup

Yoshua Bengio

2024/2/15

Conditions on Preference Relations that Guarantee the Existence of Optimal Policies

Jonathan Colaço Carr

Prakash Panangaden

Doina Precup

2024/4/18

Policy Gradient Methods in the Presence of Symmetries and State Abstractions

Journal of Machine Learning Research

Prakash Panangaden

Sahand Rezaei-Shoshtari

Rosie Zhao

David Meger

Doina Precup

2024

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search

arXiv preprint arXiv:2311.03583

Abbas Mehrabian

Ankit Anand

Hyunjik Kim

Nicolas Sonnerat

Matej Balog

...

2023/11/6

Combining Spatial and Temporal Abstraction in Planning for Better Generalization

arXiv preprint arXiv:2310.00229

Mingde Zhao

Safa Alver

Harm van Seijen

Romain Laroche

Doina Precup

...

2023/9/30

Accelerating exploration and representation learning with offline pre-training

arXiv preprint arXiv:2304.00046

Bogdan Mazoure

Jake Bruce

Doina Precup

Rob Fergus

Ankit Anand

2023/3/31

See List of Professors in Doina Precup University(McGill University)

Co-Authors

H-index: 227
Yoshua Bengio

Yoshua Bengio

Université de Montréal

H-index: 85
Shie Mannor

Shie Mannor

Technion - Israel Institute of Technology

H-index: 77
Satinder Singh

Satinder Singh

University of Michigan-Dearborn

H-index: 76
Csaba Szepesvari

Csaba Szepesvari

University of Alberta

H-index: 74
Joelle Pineau

Joelle Pineau

McGill University

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