Faisal, Aldo A.

11 publications

AISTATS 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke

TMLR 2025 Posterior Sampling for Reinforcement Learning on Graphs Arnaud Robert, Aldo A. Faisal, Ciara Pike-Burke

ICLRW 2025 Task-Driven Graph Neural Network Pre-Training: A Path to Robust EEG Representations in Motor Planning Federico Nardi, Jinpei Han, Aldo A. Faisal, Shlomi Haar

NeurIPS 2025 Variational Uncertainty Decomposition for In-Context Learning I. Shavindra Jayasekera, Jacob Si, Filippo Valdettaro, Wenlong Chen, Aldo A. Faisal, Yingzhen Li

NeurIPSW 2024 Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning Federico Nardi, Jinpei Han, Shlomi Haar, Aldo A. Faisal

ICMLW 2024 Offline Reinforcement Learning with Pessimistic Value Priors Filippo Valdettaro, Aldo A. Faisal

ICMLW 2023 Eye-Tracking of Clinician Behaviour with Explainable AI Decision Support: A High-Fidelity Simulation Study Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony Gordon, Aldo A. Faisal

ICMLW 2023 Finite-State Offline Reinforcement Learning with Moment-Based Bayesian Epistemic and Aleatoric Uncertainties Filippo Valdettaro, Aldo A. Faisal

NeurIPS 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning Arnaud Robert, Ciara Pike-Burke, Aldo A Faisal

ICMLW 2023 Sample Complexity of Hierarchical Decompositions in Markov Decision Processes Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal

NeurIPS 2018 Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A Faisal, Finale Doshi-Velez, Emma Brunskill