The interface between probabilistic model checking and data-driven policy learning.
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Updated
May 14, 2026 - Python
The interface between probabilistic model checking and data-driven policy learning.
Safe reinforcement learning for quadruped locomotion using Control Barrier Functions (CBF) - Zero falls, 99% safety rate, 90% speed retention with provable safety guarantees
Safe Online Control-Informed Learning (IEEE L-CSS 2025) — learning a robot's dynamics, objective and safety limits online, one measurement at a time, without leaving the safe set.
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