activity
20122019
most citedDelta-Complete Decision Procedures for Satisfiability over the Reals

43 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG201922 cited

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

Quan Vuong, Sharad Vikram, Hao Su +2

Recently, reinforcement learning (RL) algorithms have demonstrated remarkable success in learning complicated behaviors from minimally processed input. However, most of this succes…

q-bio.QM201413 cited

Towards Personalized Prostate Cancer Therapy Using Delta-Reachability Analysis

Bing Liu, Soonho Kong, Sicun Gao +2

Recent clinical studies suggest that the efficacy of hormone therapy for prostate cancer depends on the characteristics of individual patients. In this paper, we develop a computat…

cs.LO2014

Proof Generation from Delta-Decisions

Sicun Gao, Soonho Kong, Edmund Clarke

We show how to generate and validate logical proofs of unsatisfiability from delta-complete decision procedures that rely on error-prone numerical algorithms. Solving this problem…

cs.LO20147 cited

Parameter Synthesis for Cardiac Cell Hybrid Models Using Delta-Decisions

Bing Liu, Soonho Kong, Sicun Gao +2

A central problem in systems biology is to identify parameter values such that a biological model satisfies some behavioral constraints (\eg, time series). In this paper we focus o…

cs.FL20145 cited

SReach: A Bounded Model Checker for Stochastic Hybrid Systems

Qinsi Wang, Paolo Zuliani, Soonho Kong +2

In this paper we describe a new tool, SReach, which solves probabilistic bounded reachability problems for two classes of stochastic hybrid systems. The first one is (nonlinear) hy…

cs.LO201211 cited

Delta-Decidability over the Reals

Sicun Gao, Jeremy Avigad, Edmund Clarke

Given any collection F of computable functions over the reals, we show that there exists an algorithm that, given any L_F-sentence φcontaining only bounded quantifiers, and any pos…