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» On Modeling Profiles Instead of Values
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ICML
2005
IEEE
16 years 2 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
ICML
2002
IEEE
16 years 2 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
HPCA
2003
IEEE
16 years 1 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
ICC
2009
IEEE
121views Communications» more  ICC 2009»
15 years 8 months ago
Idle Channel Time Estimation in Multi-Hop Wireless Networks
—This paper presents a theoretical estimation for idle channel time in a multi-hop environment. Idle channel time is the time proportion of a node during which the channel state ...
Simon Odou, Steven Martin, Khaldoun Al Agha
WCNC
2008
IEEE
15 years 7 months ago
An Opportunistic Scheduling Scheme with Minimum Data-Rate Guarantees for OFDMA
Abstract—We tackle the problem of providing minimum datarate guarantees for different classes-of-service in an OFDMAbased network, while obtaining a high system throughput. Our a...
Razvan Pitic, Antonio Capone