173 citations · 655 across the 66 of their papers we have counts for
71 papers
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta, Hosein Hasanbeig, Jun Wang +3
This paper addresses the problem of maintaining safety during training in Reinforcement Learning (RL), such that the safety constraint violations are bounded at any point during le…
Multiple Different Black Box Explanations for Image Classifiers
Hana Chockler, David A. Kelly, Daniel Kroening
Existing explanation tools for image classifiers usually give only a single explanation for an image's classification. For many images, however, image classifiers accept more than…
CBMC: The C Bounded Model Checker
Daniel Kroening, Peter Schrammel, Michael Tautschnig
The C Bounded Model Checker (CBMC) demonstrates the violation of assertions in C programs, or proves safety of the assertions under a given bound. CBMC implements a bit-precise tra…
JBMC: A Bounded Model Checking Tool for Java Bytecode
Romain Brenguier, Lucas Cordeiro, Daniel Kroening +1
JBMC is an open-source SAT- and SMT-based bounded model checking tool for verifying Java bytecode. JBMC relies on an operational model of the Java libraries, which conservatively a…
2LS for Program Analysis
Daniel Kroening, Viktor Malík, Peter Schrammel +1
2LS ("tools") is a verification tool for C programs, built upon the CPROVER framework. It allows one to verify user-specified assertions, memory safety properties (e.g. buffer over…
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning
Hosein Hasanbeig, Daniel Kroening, Alessandro Abate
LCRL is a software tool that implements model-free Reinforcement Learning (RL) algorithms over unknown Markov Decision Processes (MDPs), synthesising policies that satisfy a given…