optimizing admission control
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning
This paper examines the application of reinforcement learning to a telecommunications networking problem . The problem requires that rev(cid:173) enue be maximized while simultaneously meeting a quality of service constraint that forbids entry into certain states. We present a general solution to this multi-criteria problem that is able to earn significantly higher revenues than alternatives.
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning
Brown, Timothy X., Tong, Hui, Singh, Satinder P.
This paper examines the application of reinforcement learning to a telecommunications networking problem. The problem requires that revenue be maximized while simultaneously meeting a quality of service constraint that forbids entry into certain states. We present a general solution to this multi-criteria problem that is able to earn significantly higher revenues than alternatives.
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning
Brown, Timothy X., Tong, Hui, Singh, Satinder P.
This paper examines the application of reinforcement learning to a telecommunications networking problem. The problem requires that revenue be maximized while simultaneously meeting a quality of service constraint that forbids entry into certain states. We present a general solution to this multi-criteria problem that is able to earn significantly higher revenues than alternatives.
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning
Brown, Timothy X., Tong, Hui, Singh, Satinder P.
This paper examines the application of reinforcement learning to a telecommunications networking problem. The problem requires that revenue bemaximized while simultaneously meeting a quality of service constraint that forbids entry into certain states. We present a general solution to this multi-criteria problem that is able to earn significantly higher revenues than alternatives.