A probabilistic bound is derived showing that safety after zero-shot RL deployment in cascade systems depends on the tracking quality achieved by a low-level controller for the inner states.
Safety-critical control with bounded inputs via reduced order models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Safety Guarantees in Zero-Shot Reinforcement Learning for Cascade Dynamical Systems
A probabilistic bound is derived showing that safety after zero-shot RL deployment in cascade systems depends on the tracking quality achieved by a low-level controller for the inner states.