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2007
176views Robotics» more  RSS 2007»
13 years 11 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
JSAC
2010
138views more  JSAC 2010»
13 years 8 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
HPCA
1998
IEEE
14 years 2 months ago
The Impact of Data Transfer and Buffering Alternatives on Network Interface Design
The explosive growth in the performance of microprocessors and networks has created a new opportunity to reduce the latency of fine-grain communication. Microprocessor clock speed...
Shubhendu S. Mukherjee, Mark D. Hill
USITS
2003
13 years 11 months ago
Using Random Subsets to Build Scalable Network Services
In this paper, we argue that a broad range of large-scale network services would benefit from a scalable mechanism for delivering state about a random subset of global participan...
Dejan Kostic, Adolfo Rodriguez, Jeannie R. Albrech...
ARTCOM
2009
IEEE
14 years 5 months ago
Load Balancing in Multi ECU Configuration
—Electronic Control Units (ECUs) are nowadays employed in automotives for discharging various functionalities within the vehicle. It has become the fundamental building block of ...
Rajeshwari Hegde, K. S. Gurumurthy