D. Precup

发表

Conditions on Preference Relations that Guarantee the Existence of Optimal Policies

Jonathan Colaco Carr, Prakash Panangaden, D. Precup, 2023, ArXiv.

Prediction and Control in Continual Reinforcement Learning

N. Anand, D. Precup, 2023, NeurIPS.

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Doina Precup, H. V. Hoof, D. Meger, 2019, 2019 International Conference on Robotics and Automation (ICRA).

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

J. Leskovec, Sitao Luan, Chenqing Hua, 2023, 2304.14274.

Mixtures of Experts Unlock Parameter Scaling for Deep RL

G. Dziugaite, Timon Willi, Ghada Sokar, 2024, ArXiv.

A cry for help: Early detection of brain injury in newborns

Charles C. Onu, Y. Bengio, Samantha Latremouille, 2023, ArXiv.

Towards AI-designed genomes using a variational autoencoder

D. Precup, N.K. Dudek, 2024, bioRxiv.

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents

Ali Rahimi-Kalahroudi, Safa Alver, D. Precup, 2024, ArXiv.

Delayed Duplicate Detection: Extended Abstract

Robert West, D. Precup, Joelle Pineau, 2009, IJCAI.

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

Y. Bengio, H. V. Seijen, Safa Alver, 2023, 2310.00229.

Combining Spatial and Temporal Abstraction in Planning for Better Generalization

Y. Bengio, H. V. Seijen, Safa Alver, 2023, arXiv.org.

C ONSCIOUSNESS -I NSPIRED S PATIO -T EMPORAL A B - STRACTION FOR B ETTER G ENERALIZATION

Y. Bengio, H. V. Seijen, Safa Alver, 2022 .

Effective Protein-Protein Interaction Exploration with PPIretrieval

Chenqing Hua, D. Precup, Connor Coley, 2024, ArXiv.

Reactzyme: A Benchmark for Enzyme-Reaction Prediction

Sitao Luan, Chenqing Hua, Bozitao Zhong, 2024, 2408.13659.

Generative Active Learning for the Search of Small-molecule Protein Binders

Marwin H. S. Segler, Sasikanth Avancha, Pierre-Luc Bacon, 2024, ArXiv.

DGFN: Double Generative Flow Networks

Emmanuel Bengio, D. Precup, Nikhil Vemgal, 2023, ArXiv.

Low-Rank Representation of Reinforcement Learning Policies

J. Gillula, Guillaume Rabusseau, Bogdan Mazoure, 2022, J. Artif. Intell. Res..