# Symbolic LTLf Best-Effort Synthesis

arXiv: https://arxiv.org/abs/2308.15178 · HTML: https://mlsanity.com/paper/2308.15178/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 27 references that are in the map.
- First posted on arXiv 29 Aug 2023.

## Builds on (most cited first, 4 of 4)

- [Symbolic LTLf Synthesis](https://mlsanity.com/paper/1705.08426/) (2017)
- [Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications](https://mlsanity.com/paper/1911.08145/) (2019)
- [LTLf Synthesis with Fairness and Stability Assumptions](https://mlsanity.com/paper/1912.07804/) (2019)
- [Planning and Synthesis Under Assumptions](https://mlsanity.com/paper/1807.06777/) (2018)

## Abstract (arXiv)

We consider an agent acting to fulfil tasks in a nondeterministic environment. When a strategy that fulfills the task regardless of how the environment acts does not exist, the agent should at least avoid adopting strategies that prevent from fulfilling its task. Best-effort synthesis captures this intuition. In this paper, we devise and compare various symbolic approaches for best-effort synthesis in Linear Temporal Logic on finite traces (LTLf). These approaches are based on the same basic components, however they change in how these components are combined, and this has a significant impact on the performance of the approaches as confirmed by our empirical evaluations.