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Found 4 papers, 2 papers with code
Large Language Models for Supply Chain Optimization
Supply chain operations traditionally involve a variety of complex decision making problems.
A Deep Learning Perspective on Network Routing
Routing is, arguably, the most fundamental task in computer networking, and the most extensively studied one.
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 variables outside the control of the decision-maker.
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency
To ensure these service requirements, cloud offerings often come with a service level agreement (SLA) between the provider and the users.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing Computer Science and Game Theory
