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Francesco Micheli

2 accepted papers

2026

Beyond Domain Randomization: Safety Certificates for Reinforcement Learning

ICRA 2026poster

With the growing acceptance of robotics in daily life there is a growing need for certifiably safe control policies. While simulation provides a safe training environment, policies often fail in sim-to-real transfer. We propose a data-driven certification framework for reinforcement learning based o…

Cited by 0Scholar
2025

Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context

AISTATS 2025poster

We address the challenge of sequential data-driven decision-making under context distributional uncertainty. This problem arises in numerous real-world scenarios where the learner optimizes black-box objective functions in the presence of uncontrollable contextual variables. We consider the setting…

Cited by 0SourcecodeScholar