Publications

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

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.

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

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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).

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

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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).

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

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

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).

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