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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 19 days ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
VLSISP
2002
112views more  VLSISP 2002»
13 years 8 months ago
Minimizing Buffer Requirements under Rate-Optimal Schedule in Regular Dataflow Networks
Large-grain synchronous dataflow graphs or multi-rate graphs have the distinct feature that the nodes of the dataflow graph fire at different rates. Such multi-rate large-grain dat...
Ramaswamy Govindarajan, Guang R. Gao, Palash Desai
AAIM
2007
Springer
126views Algorithms» more  AAIM 2007»
14 years 3 months ago
Mixed Criteria Packet Scheduling
Packet scheduling in networks with quality of service constraints has been extensively studied as a single criterion scheduling problem. The assumption underlying single criterion ...
Chad R. Meiners, Eric Torng
IPPS
2006
IEEE
14 years 3 months ago
Dynamic multi phase scheduling for heterogeneous clusters
Distributed computing systems are a viable and less expensive alternative to parallel computers. However, concurrent programming methods in distributed systems have not been studi...
Florina M. Ciorba, Theodore Andronikos, Ioannis Ri...
WINET
2010
105views more  WINET 2010»
13 years 7 months ago
Flow rank based probabilistic fair scheduling for wireless ad hoc networks
Fair scheduling is an ideal candidate for fair bandwidth sharing and thereby achieving fairness among the contending flows in a network. It is particularly challenging for ad hoc ...
Md. Mamun-Or-Rashid, Muhammad Mahbub Alam, Md. Abd...