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Found 3 papers, 1 papers with code
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Traffic optimization challenges, such as load balancing, flow scheduling, and improving packet delivery time, are difficult online decision-making problems in wide area networks (WAN).
Distributed Continuous-Time Optimization with Time-Varying Objective Functions and Inequality Constraints
Different from most studied distributed optimization problems with time-invariant objective functions and constraints, the optimal solution in this paper is time varying and forms a trajectory.
Optimization and Control
A collaborative filtering model with heterogeneous neural networks for recommender systems
One advantage of deep neural network is that the performance of the algorithm can be easily enhanced by augmenting the depth of the neural network.
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