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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Vydané v:	Proceedings of ACM on programming languages Ročník 8; číslo OOPSLA2; s. 1928 - 1954
Hlavní autori:	Borgarelli, Andrea, Enea, Constantin, Majumdar, Rupak, Nagendra, Srinidhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 08.10.2024
Predmet:	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
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