Reward Augmentation in Reinforcement Learning for Testing Distributed Systems

Bugs in popular distributed protocol implementations have been the source of many downtimes in popular internet services. We describe a randomized testing approach for distributed protocol implementations based on reinforcement learning. Since the natural reward structure is very sparse, the key to...

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Bibliographic Details

Published in:	Proceedings of ACM on programming languages Vol. 8; no. OOPSLA2; pp. 1928 - 1954
Main Authors:	Borgarelli, Andrea, Enea, Constantin, Majumdar, Rupak, Nagendra, Srinidhi
Format:	Journal Article
Language:	English
Published:	New York, NY, USA ACM 08.10.2024
Subjects:	Computing methodologies Distributed algorithms Reinforcement learning Software and its engineering Software testing and debugging Theory of computation Reinforcement Learning Distributed Systems Reactive Systems Testing
ISSN:	2475-1421, 2475-1421
Online Access:	Get full text
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