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» Approximate zero-variance simulation
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ICML
2006
IEEE
16 years 3 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng
ICC
2007
IEEE
103views Communications» more  ICC 2007»
15 years 9 months ago
Modeling Channel Occupancy Times for Voice Traffic in Cellular Networks
—Call holding times in telephony networks are commonly approximated by exponential distributions to facilitate traffic engineering. However, for traffic engineering of cellular n...
Emre A. Yavuz, Victor C. M. Leung
113
Voted
COR
2008
131views more  COR 2008»
15 years 2 months ago
Comparing methods for multiattribute decision making with ordinal weights
This paper is concerned with procedures for ranking discrete alternatives when their values are evaluated precisely on multiple attributes and the attribute weights are known only...
Byeong Seok Ahn, Kyung Sam Park
87
Voted
WSC
2004
15 years 3 months ago
Efficient Simulation-Based Discrete Optimization
In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the ob...
Seth D. Guikema, Rachel A. Davidson, Zehra Ç...
110
Voted
TELETRAFFIC
2007
Springer
15 years 8 months ago
Analysis and Provisioning of a Circuit-Switched Link with Variable-Demand Customers
We consider a single circuit-switched communication link, depicted by a Erlang multi-class loss queue, where a customer may vary its required bandwidth during its service. We obtai...
Wenhong Tian, Harry G. Perros