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» Learning to Control in Operational Space
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IUI
1999
ACM
15 years 8 months ago
Opportunistic Exploration of Large Consumer Product Spaces
The advent of the Web has brought an unprecedented amount of information together with a large, diverse set of users. Online users are performing a wider variety of tasks than eve...
Doug Bryan, Anatole Gershman
GLOBECOM
2009
IEEE
15 years 1 months ago
Energy-Efficient Space-Time Coded Cooperative Routing in Multihop Wireless Networks
Due to the limited energy supplies of nodes in many applications like wireless sensor networks, energy efficiency is crucial for extending the lifetime of these networks. This pape...
Behrouz Maham, Ravi Narasimhan, Are Hjørung...
129
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AAAI
2008
15 years 6 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
ICML
2005
IEEE
16 years 4 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
IISWC
2008
IEEE
15 years 10 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li