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Hindsight learning for mdps with exogenous inputs
Many resource management problems require sequential decision-making under
uncertainty, where the only uncertainty affecting the decision outcomes are exogenous …
uncertainty, where the only uncertainty affecting the decision outcomes are exogenous …
Learning and information in stochastic networks and queues
We review the role of information and learning in the stability and optimization of queueing
systems. In recent years, techniques from supervised learning, online learning, and …
systems. In recent years, techniques from supervised learning, online learning, and …
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
Queuing network control determines the allocation of scarce resources to manage
congestion, a fundamental problem in manufacturing, communications, and healthcare …
congestion, a fundamental problem in manufacturing, communications, and healthcare …
Adaptivity, Structure, and Objectives in Sequential Decision-Making
SR Sinclair - ACM SIGMETRICS Performance Evaluation Review, 2024 - dl.acm.org
Sequential decision-making algorithms are ubiquitous in the design and optimization of
large-scale systems due to their practical impact. The typical algorithmic paradigm ignores …
large-scale systems due to their practical impact. The typical algorithmic paradigm ignores …