Stochastic Systems
INFORMS Institute for Operations Research and the Management Sciences · United States · Est. 2002
Aims & Scope✦ Inferred from recent articles
The journal publishes research on stochastic systems, focusing on queueing theory, optimal control, and performance analysis. Articles explore topics such as many-server queues with abandonment, causal inference in sequential decision-making, optimal management of memory systems, customer-server matching with unknown payoffs, and pricing strategies in service systems. Other areas include reflected Brownian motion, importance sampling for option pricing, reinforcement learning in Markov chains, dynamic systems with price-sensitive customers, load balancing, particle systems with graph interactions, distributed ledgers, tandem queueing systems, and the application of machine learning in queueing systems, particularly for large language models.
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