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Model-based Reinforcement Learning for Service Mesh Fault Resiliency in
  a Web Application-level

Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level

21 October 2021
Fanfei Meng
L. Jagadeesan
M. Thottan
    AI4CE
ArXivPDFHTML

Papers citing "Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level"

2 / 2 papers shown
Title
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap
  Between Expert Design and Automated Optimization
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
Fanfei Meng
Chen-Ao Wang
Alexander Brown
11
1
0
11 Feb 2024
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
122
595
0
28 Feb 2017
1