Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking-Reference-Cited by-同舟云学术

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Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking

Published:2021-06 Issue: Volume:206 Page:102620
ISSN:0167-6423
Container-title:Science of Computer Programming
language:en
Short-container-title:Science of Computer Programming

Author:

Belzner Lenz,Wirsing Martin

Publisher

Elsevier BV

Subject

Software

Reference65 articles.

1. The SOTA approach to engineering collective adaptive systems;Abeywickrama;Int. J. Softw. Tools Technol. Transf.,2020

2. Model checking goal-oriented requirements for self-adaptive systems;Abeywickrama,2012

3. Safe reinforcement learning via shielding;Alshiekh,2018

4. Constrained Markov Decision Processes, vol. 7;Altman,1999

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying Quantitative Model Checking to Analyze Safety in Reinforcement Learning;IEEE Access;2024

2. Towards Systematically Engineering Autonomous Systems Using Reinforcement Learning and Planning;Analysis, Verification and Transformation for Declarative Programming and Intelligent Systems;2023

3. Deep Reinforcement Learning with Temporal Logics;Lecture Notes in Computer Science;2020

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