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Software . 2021
License: CC BY
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License: CC BY
Data sources: Datacite
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whiRL 2.0 verification tool for deep reinforcement-learning systems

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 May 2021 English Publisher:Zenodo
Authors: Amir, Guy; Schapira, Michael; Katz, Guy;

doi: 10.5281/zenodo.4769611 , 10.5281/zenodo.4769612

whiRL 2.0 verification tool for deep reinforcement-learning systems

Abstract

This repository includes the artifact for the whiRL 2.0 tool for verification of RL-driven systems. This artifact includes the whiRL 2.0 tool's code along with original experiments, as elaborated in our paper "Towards Scalable Verification of Deep Reinforcement Learning" (FMCAD 2021): https://arxiv.org/abs/2105.11931 For specific instructions please read the README.txt file. For technical questions - contact us at guyam@cs.huji.ac.il

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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