6 papers
. We consider the problems of identifying LTL safety proper- ties and translating them to finite automata. We present an algorithm for constructing a finite automata recognising informative prefixes of LTL formulas based on [1]. The implementation also includes a procedure for de...
. Temporal synthesis is the automated design of a system that interacts with an environment, using the declarative specification of the system’s behavior. A popular language for providing such a specification is Linear Temporal Logic, or LTL. LTL synthesis in the general case has...
ones in such a way to satisfy the formula. LTL realizability Linear Temporal Logic (LTL) is the de-facto standard tempo- is 2EXPTIME-complete, on both infinite (Rosner 1992) and ral logic for system specification, whose foundational prop- finite (De Giacomo and Vardi 2015) traces...
by (default or sampled) safe ones; action projection, e.g., (Cheng et al. 2019), where unsafe actions are replaced by We present Pure-Past Action Masking (PPAM), a lightweight approach to action masking for safe reinforcement learning. projecting them to the safe action space; an...
. Responsibility is a key notion in multi-agent systems and in creating safe, reliable and ethical AI. In particular, the evaluation of choices based on responsibility is useful for making robustly good deci- sions in unpredictable domains. However, most previous work on respon-...