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Reinforcement Learning for Datacenter Congestion Control
Chen Tessler
, Yuval Shpigelman
, Gal Dalal
, Amit Mandelbaum
, Doron Haritan Kazakov
, Benjamin Fuhrer
,
Gal Chechik
, Shie Mannor
Department of Computer Science
DSAI - Data Science & AI Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
29
Scopus citations
Overview
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Keyphrases
Reinforcement Learning
100%
Congestion Control
100%
Popular
100%
Learning Algorithm
66%
Communication Networks
33%
Performance Improvement
33%
Enhanced Stability
33%
Latency
33%
Non-stationarity
33%
Reward Function
33%
Partial Observability
33%
Network Behavior
33%
Policy Gradient Method
33%
Network Throughput
33%
Realistic Simulation
33%
Congestion Control Algorithm
33%
Network Congestion Control
33%
Analytical Structure
33%
Practical Potential
33%
Data Center Networks
33%
Rule-based Heuristic
33%
Reinforcement Learning Approach
33%
Large Data Center
33%
Computer Science
Reinforcement Learning
100%
Congestion Control
100%
Communication Network
25%
Control Algorithm
25%
Network Congestion
25%
Partial Observability
25%
Learning Approach
25%