Publications

Veronica Chelu*, Doina Precup (2024). Functional Acceleration for Policy Mirror Descent. arXiv preprint.

PDF Cite

Nathan de Lara, Veronica Chelu*, Doina Precup (2024). Recurrent Policies Are Not Enough for Continual Reinforcement Learningt. preprint.

PDF Cite

Arthur Juliani, Veronica Chelu*, Laura Graesser, Adam Safron (2024). A dual-receptor model of serotonergic psychedelics: therapeutic insights from simulated cortical dynamics. bioRxiv preprint.

PDF Cite

Veronica Chelu*, Tom Zahavy, Arthur Guez, Doina Precup, Sebastian Flennerhag (2023). Acceleration in Policy Optimization. arXiv preprint.

PDF Cite

Veronica Chelu*, Diana Borsa, Doina Precup, Hado van Hasselt (2022). Selective Credit Assignment. arXiv preprint.

PDF Cite

Arushi Jain, Veronica Chelu*, Sharan Vaswani, Nicolas Le Roux (2022). Actor-critic as a joint maximization problem. RLDM.

Cite

Anthony GX-Chen, Veronica Chelu*, Blake A. Richards, Joelle Pineau (2022). A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. AAAI Conference on Artificial Intelligence.

PDF Cite

Ray Jiang, Shangtong Zhang, Veronica Chelu*, Adam White, Hado van Hasselt (2021). Learning Expected Emphatic Traces for Deep RL. AAAI Conference on Artificial Intelligence.

PDF Cite

Anthony GX-Chen, Veronica Chelu*, Blake Richards, Joelle Pineau (2020). Lambda Successor Return Error. Biological and Artificial Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS).

Cite

Veronica Chelu*, Doina Precup, Hado van Hasselt (2020). Forethought and Hindsight in Credit Assignment. Advances in Neural Information Processing Systems.

PDF Cite

Veronica Chelu*, Doina Precup (2019). Option Discovery by Aiming to Predict. Proceedings of Reinforcement Learning and Decision Making (RLDM), Multi-Task and Lifelong Reinforcement Learning Workshop, Self-Supervised Learning Workshop at International Conference on Machine Learning (ICML).

PDF Cite

Veronica Chelu* (2018). The influence of exploratory behaviour on temporal abstraction and subgoal identification. Transylvanian Machine Learning Summer School (TMLSS) (best poster award).

PDF Cite

Veronica Chelu* (2018). Temporal abstraction and subgoal discovery by clustering successor features. Women in Machine Learning (WIML) Workshop.

Cite

J. Baek*, Veronica Chelu*, L. Iordache, V Paunescu, A. Ghiuta H. Ryu, Y. Soh A. Petreanu, A. Leica (2018). Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System. Workshop on Autonomous Driving, Conference on Computer Vision and Pattern Recognition (CVPR).

PDF Cite