1. Synthesis from LTL with Reward Optimization in Sampled Oblivious Environments
- Author
-
Raskin, Jean-François and Tsai, Yun Chen
- Subjects
Computer Science - Formal Languages and Automata Theory - Abstract
This paper addresses the synthesis of reactive systems that enforce hard constraints while optimizing for quality-based soft constraints. We build on recent advancements in combining reactive synthesis with example-based guidance to handle both types of constraints in stochastic, oblivious environments accessible only through sampling. Our approach constructs examples that satisfy LTL-based hard constraints while maximizing expected rewards-representing the soft constraints-on samples drawn from the environment. We formally define this synthesis problem, prove it to be NP-complete, and propose an SMT-based solution, demonstrating its effectiveness with a case study., Comment: 19 pages, serve as complete version for reference
- Published
- 2024