The paper establishes a correspondence between Signal Temporal Logic and stratification theory, allowing STL formulas to be viewed as stratifications of space-time and applied to analyze DRL embedding spaces via robustness rewards.
Linear obstacles in linear systems, and ways to avoid them,
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Stratifying Reinforcement Learning with Signal Temporal Logic
The paper establishes a correspondence between Signal Temporal Logic and stratification theory, allowing STL formulas to be viewed as stratifications of space-time and applied to analyze DRL embedding spaces via robustness rewards.