bayesian methods 1hyperparameter tuning 1model-based RL 1offline reinforcement learning 1theoretical analysis 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Fully Offline Reinforcement Learning
Mattie Fellows, Clarisse Wibault, Uljad Berdica +3
The paper proposes fully offline reinforcement learning methods that use Bayesian model-based techniques to learn dynamics and evaluate policies without any online interaction, ena…
cs.LG2025
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
Ondrej Bajgar, Dewi S. W. Gould, Jonathon Liu +3
As AI systems become increasingly autonomous, reliably aligning their decision-making with human preferences is essential. Inverse reinforcement learning (IRL) offers a promising a…
cs.CY2025
Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
Ben Bucknall, Robert F. Trager, Michael A. Osborne
The external evaluation of AI systems is increasingly recognised as a crucial approach for understanding their potential risks. However, facilitating external evaluation in practic…