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AIPS
2008
15 years 9 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
INFOCOM
2010
IEEE
15 years 5 months ago
Throughput-Optimal Opportunistic Scheduling in the Presence of Flow-Level Dynamics
Abstract—We consider multiuser scheduling in wireless networks with channel variations and flow-level dynamics. Recently, it has been shown that the MaxWeight algorithm, which i...
Shihuan Liu, Lei Ying, R. Srikant
ICML
1999
IEEE
16 years 7 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
INFOCOM
2007
IEEE
16 years 29 days ago
Joint Congestion Control and Distributed Scheduling for Throughput Guarantees in Wireless Networks
— We consider the problem of throughput-optimal cross-layer design of wireless networks. We propose a joint congestion control and scheduling algorithm that achieves a fraction d...
Gaurav Sharma, Ness B. Shroff, Ravi R. Mazumdar
ECRTS
2005
IEEE
16 years 8 days ago
Scheduling Tasks with Markov-Chain Based Constraints
Markov-Chain (MC) based constraints have been shown to be an effective QoS measure for a class of real-time systems, particularly those arising from control applications. Scheduli...
Donglin Liu, Xiaobo Sharon Hu, Michael D. Lemmon, ...