DP
Doina Precup
cs.LGcs.AIstat.MLcs.CLcs.CVAirway Extubationcs.FLcs.MAcs.SYeess.SY
On Valency
published · living versionsW_8ujrvbgj·v1 · currentpublished
Freeze, Don't Clone: Fine-Tuning with Expressive Policies Without Retaining Offline Data
with Sami Nur Islam, Johan Obando-Ceron, Aaron Courville, Pablo Samuel Castro
1 version
Preprints & journals
249 papers in the corpus · 2005–2026Exploration-Preserving Policy Optimization2610.04011v1 · Hangzhan jin, Mohammad Hamdaqa, Doina Precup2026 · 0 citationsarXiv
A Bellman Optimality Equation for Plasticity2609.10776v1 · Jeremy Lucas, Doina Precup2026 · 0 citationsarXiv
From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs2609.10781v1 · Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang et al.2026 · 0 citationsZhang, S., Wang, Z., Chang, X.-W., & Precup, D. (2026). From connectivity to rewards: Dense reward learning with directed state graphs. Transactions on Machine Learning Research. https://openreview.net/forum?id=F65zrefsjB
SIC-Agents: Benchmarking and Building an Adaptive Simulator for Pediatric Serious Illness Communication Training2608.29481v1 · Zihan Wang, Anita Marie Slominska, Rennie Bimman et al.2026 · 0 citationsarXiv
Analytic Planning under Uncertainty with Moment Closure2608.02519v1 · Shishir Sharma, Doina Precup2026 · 0 citationsarXiv
Adaptive Multi-Horizon Reinforcement Learning2607.20656v3 · Manoosh Samiei, Doina Precup, Paul Masset2026 · 0 citationsarXiv
To Retain or to Adapt? Generalizing Continual Learning2607.05609v2 · Giulia Lanzillotta, Mandana Samiei, Doina Precup et al.2026 · 0 citationsTransactions on Machine Learning Research, 2026
The schema spectrum: Emergent structures and levels of abstraction in AI and the brain.42235490 · Samiei, Mandana, Precup, Doina, Richards, Blake A2026 · 0 citationsNeuron. 2026;114(11):1898-1907
Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning2606.03962v2 · Anthony GX-Chen, Ankit Anand, Gheorghe Comanici et al.2026 · 0 citationsarXiv
Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems2606.00367v2 · Jonathan Colaco Carr, Prakash Panangaden, Doina Precup et al.2026 · 0 citationsarXiv
Balancing Plasticity and Stability with Fast and Slow Successor Features2605.26357v2 · Raymond Chua, Doina Precup, Blake Richards2026 · 0 citationsarXiv
Rotation-Preserving Supervised Fine-Tuning2605.10973v1 · Hangzhan Jin, Tianwei Ni, Lu Li et al.2026 · 0 citationsarXiv
Fluid-Agent Reinforcement Learning2602.14559v1 · Shishir Sharma, Doina Precup, Theodore J. Perkins2026 · 0 citationsarXiv
Affordances Enable Partial World Modeling with LLMs2602.10390v1 · Khimya Khetarpal, Gheorghe Comanici, Jonathan Richens et al.2026 · 0 citationsarXiv
On the geometry and topology of representations: the manifolds of modular addition2512.25060v1 · Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer et al.2025 · 0 citationsarXiv
On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds2512.09495v1 · Edwin Meriaux, Shuo Wen, Louis-Roy Langevin et al.2025 · 0 citationsarXiv
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations2511.10872v1 · Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang et al.2025 · 0 citationsarXiv
RL Fine-Tuning Heals OOD Forgetting in SFT2509.12235v3 · Hangzhan Jin, Sitao Luan, Tianwei Ni et al.2025 · 0 citationsarXiv
Relative Trajectory Balance is equivalent to Trust-PCL2509.01632v1 · Tristan Deleu, Padideh Nouri, Yoshua Bengio et al.2025 · 0 citationsarXiv
An Artificial Intelligence-Based Model to Predict Pregnancy After Intrauterine Insemination: A Retrospective Analysis of 9501 Cycles.40710425 · Minano Masip, Jaume, Grysole, Camille, Borduas, Penelope et al.2025 · 3 citationsJournal of personalized medicine. 2025;15(7)
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts2507.07140v2 · Samin Yeasar Arnob, Zhan Su, Minseon Kim et al.2025 · 0 citationsarXiv
Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity2506.17155v2 · Samin Yeasar Arnob, Scott Fujimoto, Doina Precup2025 · 0 citationsarXiv
Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning2506.14045v2 · Martin Klissarov, Akhil Bagaria, Ziyan Luo et al.2025 · 0 citationsarXiv
Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments2506.00563v2 · Ziyan Luo, Tianwei Ni, Pierre-Luc Bacon et al.2025 · 0 citationsarXiv
SCAR: Shapley Credit Assignment for More Efficient RLHF2505.20417v1 · Meng Cao, Shuyuan Zhang, Xiao-Wen Chang et al.2025 · 0 citationsarXiv
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks2505.18266v1 · Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Letourneau et al.2025 · 0 citationsarXiv
Plasticity as the Mirror of Empowerment2505.10361v2 · David Abel, Michael Bowling, Andr'e Barreto et al.2025 · 0 citationsarXiv
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?2505.09614v3 · Anthony GX-Chen, Dongyan Lin, Mandana Samiei et al.2025 · 0 citationsarXiv
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning2504.17282v1 · Lynn Cherif, Flemming Kondrup, David Venuto et al.2025 · 0 citationsarXiv
Capturing Individual Human Preferences with Reward Features2503.17338v2 · Andr'e Barreto, Vincent Dumoulin, Yiran Mao et al.2025 · 0 citationsarXiv
Agency Is Frame-Dependent2502.04403v1 · David Abel, Andr'e Barreto, Michael Bowling et al.2025 · 0 citationsarXiv
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning2501.17827v1 · Haque Ishfaq, Guangyuan Wang, Sami Nur Islam et al.2025 · 0 citationsarXiv
Fairness in Reinforcement Learning with Bisimulation Metrics2412.17123v2 · Sahand Rezaei-Shoshtari, Hanna Yurchyk, Scott Fujimoto et al.2024 · 0 citationsarXiv
MaestroMotif: Skill Design from Artificial Intelligence Feedback2412.08542v1 · Martin Klissarov, Mikael Henaff, Roberta Raileanu et al.2024 · 0 citationsarXiv
Parseval Regularization for Continual Reinforcement Learning2412.07224v1 · Wesley Chung, Lynn Cherif, David Meger et al.2024 · 2 citationsarXiv
Towards AI-designed genomes using a variational autoencoder.39657811 · Dudek, Natasha K, Precup, Doina2024 · 7 citationsProceedings. Biological sciences. 2024;291(2036):20241457
Learning Successor Features the Simple Way2410.22133v2 · Raymond Chua, Arna Ghosh, Christos Kaplanis et al.2024 · 1 citationarXiv
Rejecting Hallucinated State Targets during Planning2410.07096v9 · Mingde Zhao, Tristan Sylvain, Romain Laroche et al.2024 · 0 citationsarXiv
Mitigating Downstream Model Risks via Model Provenance2410.02230v2 · Keyu Wang, Abdullah Norozi Iranzad, Scott Schaffter et al.2024 · 0 citationsarXiv
Training Language Models to Self-Correct via Reinforcement Learning2409.12917v2 · Aviral Kumar, Vincent Zhuang, Rishabh Agarwal et al.2024 · 9 citationsarXiv
ReactZyme: A Benchmark for Enzyme-Reaction Prediction2408.13659v3 · Chenqing Hua, Bozitao Zhong, Sitao Luan et al.2024 · 7 citations38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks
Functional Acceleration for Policy Mirror Descent2407.16602v2 · Veronica Chelu, Doina Precup2024 · 0 citationsarXiv
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges2407.09618v1 · Sitao Luan, Chenqing Hua, Qincheng Lu et al.2024 · 6 citationsarXiv
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling2406.12241v1 · Haque Ishfaq, Yixin Tan, Yu Yang et al.2024 · 1 citationarXiv
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization2405.18751v2 · Jordi Armengol-Estap'e, Vincent Michalski, Ramnath Kumar et al.2024 · 1 citationarXiv
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents2405.16899v1 · Safa Alver, Ali Rahimi-Kalahroudi, Doina Precup2024 · 0 citationsarXiv
Adaptive Exploration for Data-Efficient General Value Function Evaluations2405.07838v2 · Arushi Jain, Josiah P. Hanna, Doina Precup2024 · 1 citationarXiv
Generative Active Learning for the Search of Small-molecule Protein Binders2405.01616v1 · Maksym Korablyov, Cheng-Hao Liu, Moksh Jain et al.2024 · 5 citationsarXiv
Offline Multitask Representation Learning for Reinforcement Learning2403.11574v2 · Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng et al.2024 · 0 citationsarXiv
Discrete Probabilistic Inference as Control in Multi-path Environments2402.10309v2 · Tristan Deleu, Padideh Nouri, Nikolay Malkin et al.2024 · 1 citationarXiv
Career total: 469 works. 249 are in this corpus.Showing the 50 most recent.
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