NASA Formal Methods 2024 (series) / NFM 2024 /
Validation of Reinforcement Learning Agents and Safety Shields with ProB
Thu 6 JunDisplayed time zone: Pacific Time (US & Canada) change
Thu 6 Jun
Displayed time zone: Pacific Time (US & Canada) change
10:30 - 12:30 | |||
10:30 25mTalk | Tree-Based Scenario Classification. A Formal Framework for Measuring Domain Coverage when Testing Autonomous Systems NFM 2024 Till Schallau TU Dortmund University, Stefan Naujokat TU Dortmund University, Fiona Kullmann TU Dortmund University, Falk Howar TU Dortmund University | ||
10:55 25mTalk | Validation of Reinforcement Learning Agents and Safety Shields with ProB NFM 2024 Fabian Vu Heinrich-Heine-Universität, Jannik Dunkelau Heinrich-Heine-Universität, Michael Leuschel University of Düsseldorf | ||
11:20 25mTalk | Contract-driven Runtime Adaptation NFM 2024 Eunsuk Kang Carnegie Mellon University, Akila Ganlath Toyota InfoTech Labs, Shatadal Mishra Toyota Motor North America R&D, InfoTech Labs, Florin Baiduc Woven by Toyota, Inc., Nejib Ammar Toyota Motor North America R&D, InfoTech Labs | ||
11:45 15mTalk | Topplet: An Optimized Engine for Answering Metric Temporal Conjunctive Queries NFM 2024 Lukas Westhofen DLR e.V. Institute of Systems Engineering for Future Mobility, Christian Neurohr DLR e.V. Institute of Systems Engineering for Future Mobility, Danel Neider TU Dortmund University, Jean Christoph Jung TU Dortmund University | ||
12:00 15mTalk | A Formal Verification Framework for Runtime Assurance NFM 2024 J Tanner Slagel NASA Langley Research Center, Lauren White NASA, Aaron Dutle NASA Langley Research Center, Cesar Munoz NASA, Nicolas Crespo NASA |