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Found 6 papers, 1 papers with code
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Traffic signal control is one of the most effective methods of traffic management in urban areas.
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time.
Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems
Moreover, our scheduling algorithm adjusts itself dynamically to achieve a high throughput at the same time.
Fairness
Multiagent Systems
Networking and Internet Architecture
Performance
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks.
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Our evaluations verify that the proposed RL-based admission controller is capable of providing probabilistic bounds on the end-to-end delay of the network, without using system model information.
Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN
Ensuring the conformance of a service system's end-to-end delay to service level agreement (SLA) constraints is a challenging task that requires statistical measures beyond the average delay.
Performance Networking and Internet Architecture
