activity
20182022
most citedAdapting Behaviors via Reactive Synthesis

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI20221 cited

Synthesis from Satisficing and Temporal Goals

Suguman Bansal, Lydia Kavraki, Moshe Y. Vardi +1

Reactive synthesis from high-level specifications that combine hard constraints expressed in Linear Temporal Logic LTL with soft constraints expressed by discounted-sum (DS) reward…

cs.FL20211 cited

Adapting Behaviors via Reactive Synthesis

Gal Amram, Suguman Bansal, Dror Fried +3

In the \emph{Adapter Design Pattern}, a programmer implements a \emph{Target} interface by constructing an \emph{Adapter} that accesses an existing \emph{Adaptee} code. In this wor…

cs.FL2021

On Satisficing in Quantitative Games

Suguman Bansal, Krishnendu Chatterjee, Moshe Y. Vardi

Several problems in planning and reactive synthesis can be reduced to the analysis of two-player quantitative graph games. {\em Optimization} is one form of analysis. We argue that…

cs.FL2020

Automata-based Quantitative Verification

Suguman Bansal

Quantitative analysis of computing systems is an emerging area in automated formal analysis. Such properties address aspects such as costs and rewards, quality measures, resource c…

cs.PL2019

Synthesis of coordination programs from linear temporal logic

Suguman Bansal, Kedar S. Namjoshi, Yaniv Sa'ar

This paper presents a method for synthesizing a reactive program which coordinates the actions of a group of other reactive programs, so that the combined system satisfies a tempor…

cs.LO2019

Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications

Suguman Bansal, Yong Li, Lucas M. Tabajara +1

LTLf synthesis is the automated construction of a reactive system from a high-level description, expressed in LTLf, of its finite-horizon behavior. So far, the conversion of LTLf f…