Information-Theoretic Safe Exploration with Gaussian Processes. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (NeurIPS, 2022)

Model-Based Uncertainty in Value Functions. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (AISTATS, 2023)

Value-Distributional Model-Based Reinforcement Learning. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Information-Theoretic Safe Bayesian Optimization. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2024)

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)