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2020 – today
- 2024
[i6]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Bayesian Optimization. CoRR abs/2402.15347 (2024)- [i5]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. CoRR abs/2409.16824 (2024) - 2023
- [c2]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Uncertainty in Value Functions. AISTATS 2023: 8029-8052 - [i4]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Uncertainty in Value Functions. CoRR abs/2302.12526 (2023) - [i3]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Value-Distributional Model-Based Reinforcement Learning. CoRR abs/2308.06590 (2023) - [i2]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR abs/2312.04386 (2023) - 2022
- [c1]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS 2022 - [i1]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Exploration with Gaussian Processes. CoRR abs/2212.04914 (2022)
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