Doina Precup

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 301

Top Venues

CoRR

NeurIPS

AAAI

ICML

Publications

David Venuto, Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand
Code as Reward: Empowering Reinforcement Learning with VLMs. CoRR (2024)
Jonathan Lebensold, Doina Precup, Borja Balle
On the Privacy of Selection Mechanisms with Gaussian Noise. CoRR (2024)
Safa Alver, Ali Rahimi-Kalahroudi, Doina Precup
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents. CoRR (2024)
Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. ICLR (2024)
Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng
Effective Protein-Protein Interaction Exploration with PPIretrieval. CoRR (2024)
Veronica Chelu, Doina Precup
Functional Acceleration for Policy Mirror Descent. CoRR (2024)
Arushi Jain, Josiah P. Hanna, Doina Precup
Adaptive Exploration for Data-Efficient General Value Function Evaluations. CoRR (2024)
Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
QGFN: Controllable Greediness with Action Values. CoRR (2024)
Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. CoRR (2024)
Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio
Discrete Probabilistic Inference as Control in Multi-path Environments. CoRR (2024)
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR (2024)
Jonathan Lebensold, Doina Precup, Borja Balle
On the Privacy of Selection Mechanisms with Gaussian Noise. AISTATS (2024)
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR (2024)
David Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup
CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds. ICASSP (2024)
Jonathan Colaço Carr, Prakash Panangaden, Doina Precup
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies. AISTATS (2024)
Jordi Armengol-Estapé, Vincent Michalski, Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup, Samira Ebrahimi Kahou
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization. CoRR (2024)
Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob N. Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro
Mixtures of Experts Unlock Parameter Scaling for Deep RL. CoRR (2024)
Gandharv Patil, Aditya Mahajan, Doina Precup
On learning history-based policies for controlling Markov decision processes. AISTATS (2024)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. ICLR (2024)
Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
Offline Multitask Representation Learning for Reinforcement Learning. CoRR (2024)
Tianyu Li, Doina Precup, Guillaume Rabusseau
Connecting weighted automata, tensor networks and recurrent neural networks through spectral learning. Mach. Learn. 113 (5) (2024)
Nikhil Vemgal, Elaine Lau, Doina Precup
An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR (2023)
Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot
Nash Learning from Human Feedback. CoRR (2023)
Charles C. Onu, Samantha Latremouille, Arsenii Gorin, Junhao Wang, Uchenna Ekwochi, Peter O. Ubuane, Omolara A. Kehinde, Muhammad A. Salisu, Datonye Briggs, Yoshua Bengio, Doina Precup
A cry for help: Early detection of brain injury in newborns. CoRR (2023)
Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Shane Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. CoRR (2023)
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. AAAI (2023)
Safa Alver, Doina Precup
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning. CoRR (2023)
David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. ICML (2023)
Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. AISTATS (2023)
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR (2023)
Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
Accelerating exploration and representation learning with offline pre-training. CoRR (2023)
David Abel, André Barreto, Hado van Hasselt, Benjamin Van Roy, Doina Precup, Satinder Singh
On the Convergence of Bounded Agents. CoRR (2023)
Nishanth Anand, Doina Precup
Prediction and Control in Continual Reinforcement Learning. CoRR (2023)
Kushal Arora, Timothy J. O'Donnell, Doina Precup, Jason Weston, Jackie Chi Kit Cheung
The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. CoRR (2023)
Jonathan Colaco Carr, Prakash Panangaden, Doina Precup
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies. CoRR (2023)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. CoRR (2023)
Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS (2023)
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. CoRR (2023)
David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado Philip van Hasselt, Satinder Singh
A Definition of Continual Reinforcement Learning. NeurIPS (2023)
Veronica Chelu, Tom Zahavy, Arthur Guez, Doina Precup, Sebastian Flennerhag
Optimism and Adaptivity in Policy Optimization. CoRR (2023)
Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup
Policy Gradient Methods in the Presence of Symmetries and State Abstractions. CoRR (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR (2023)
Nishanth Anand, Doina Precup
Prediction and Control in Continual Reinforcement Learning. NeurIPS (2023)
Marlos C. Machado, André Barreto, Doina Precup, Michael Bowling
Temporal Abstraction in Reinforcement Learning with the Successor Representation. J. Mach. Learn. Res. 24 (2023)
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. AAAI (2023)
Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels. CoRR (2023)
Elaine Lau, Nikhil Vemgal, Doina Precup, Emmanuel Bengio
DGFN: Double Generative Flow Networks. CoRR (2023)
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. IEEE Access 11 (2023)
Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
MUDiff: Unified Diffusion for Complete Molecule Generation. LoG (2023)
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. COMPLEX NETWORKS (1) (2023)
Derek Kweku Degbedzui, Michael Kuzniewicz, Marie-Coralie Cornet, Yvonne Wu, Heather Forquer, Lawrence Gerstley, Emily F. Hamilton, Doina Precup, Philip A. Warrick, Robert E. Kearney
Hybrid Scattering Transform - Long Short-Term Memory Networks for Intrapartum Fetal Heart Rate Classification. CinC (2023)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need Graph Neural Networks for Node Classification? COMPLEX NETWORKS (1) (2023)
Safa Alver, Doina Precup
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning. CoLLAs (2023)
Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup
Policy composition in reinforcement learning via multi-objective policy optimization. CoRR (2023)
Scott Fujimoto, Wei-Di Chang, Edward J. Smith, Shixiang Gu, Doina Precup, David Meger
For SALE: State-Action Representation Learning for Deep Reinforcement Learning. NeurIPS (2023)
Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. CoRR (2023)
David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
A Definition of Continual Reinforcement Learning. CoRR (2023)
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
Towards Continual Reinforcement Learning: A Review and Perspectives. J. Artif. Intell. Res. 75 (2022)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
On the Expressivity of Markov Reward (Extended Abstract). IJCAI (2022)
Fengdi Che, Xiru Zhu, Doina Precup, David Meger, Gregory Dudek
Bayesian Q-learning With Imperfect Expert Demonstrations. CoRR (2022)
Raviteja Chunduru, Doina Precup
Attention Option-Critic. CoRR (2022)
Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. CoRR (2022)
Safa Alver, Doina Precup
Understanding Decision-Time vs. Background Planning in Model-Based Reinforcement Learning. CoRR (2022)
Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers. CoRR (2022)
Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. CoRR (2022)
Jongmin Lee, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation. CoRR (2022)
Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvári, Doina Precup
Towards Painless Policy Optimization for Constrained MDPs. CoRR (2022)
Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. NeurIPS (2022)
Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. CoRR (2022)
Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
Offline Policy Optimization in RL with Variance Regularizaton. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. CoRR (2022)
Gheorghe Comanici, Amelia Glaese, Anita Gergely, Daniel Toyama, Zafarali Ahmed, Tyler Jackson, Philippe Hamel, Doina Precup
Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning. CoRR (2022)
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. CoRR (2022)
Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca
Simulating Human Gaze with Neural Visual Attention. CoRR (2022)
Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Trans. Mach. Learn. Res. 2022 (2022)
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML (2022)
Jongmin Lee, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation. ICLR (2022)
David Venuto, Elaine Lau, Doina Precup, Ofir Nachum
Policy Gradients Incorporating the Future. ICLR (2022)
Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen M. Mcaleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML (2022)
Veronica Chelu, Diana Borsa, Doina Precup, Hado van Hasselt
Selective Credit Assignment. CoRR (2022)
Derek Kweku Degbedzui, Michael Kuzniewicz, Marie-Coralie Cornet, Yvonne Wu, Heather Forquer, Lawrence Gerstley, Emily F. Hamilton, Doina Precup, Philip A. Warrick, Robert E. Kearney
Assessing Intrapartum Risk of Hypoxic Ischemic Encephalopathy Using Fetal Heart Rate With Long Short-Term Memory Networks. CinC (2022)
Safa Alver, Doina Precup
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates. ICLR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Revisiting Heterophily For Graph Neural Networks. NeurIPS (2022)
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. CoRR (2022)
David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. CoRR (2022)
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. 75 (2022)
Gandharv Patil, Aditya Mahajan, Doina Precup
On learning history based policies for controlling Markov decision processes. CoRR (2022)
Andrei Cristian Nica, Khimya Khetarpal, Doina Precup
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning. CoRR (2022)
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Doina Precup
When Do We Need GNN for Node Classification? CoRR (2022)
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto
Deep learning, reinforcement learning, and world models. Neural Networks 152 (2022)
Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. ICML (2022)
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR (2022)
Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesváari, Doina Precup
Towards painless policy optimization for constrained MDPs. UAI (2022)
Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
Continuous MDP Homomorphisms and Homomorphic Policy Gradient. CoRR (2022)
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI (2021)
Emmanuel Bengio, Joelle Pineau, Doina Precup
Correcting Momentum in Temporal Difference Learning. CoRR (2021)
Safa Alver, Doina Precup
What is Going on Inside Recurrent Meta Reinforcement Learning Agents? CoRR (2021)
Scott Fujimoto, David Meger, Doina Precup
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. ICML (2021)
Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. ICALP (2021)

Doina Precup.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Doina Precup