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ECAI
2010
Springer
15 years 6 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
JEC
2006
107views more  JEC 2006»
15 years 5 months ago
A dynamically reconfigurable cache for multithreaded processors
Chip multi-processors (CMP) are rapidly emerging as an important design paradigm for both high performance and embedded processors. These machines provide an important performance...
Alex Settle, Dan Connors, Enric Gibert, Antonio Go...
NECO
2008
114views more  NECO 2008»
15 years 4 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
150
Voted
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
15 years 9 months ago
Alternative Implementations of Two-Level Adaptive Branch Prediction
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...
Tse-Yu Yeh, Yale N. Patt
169
Voted
ICECCS
2010
IEEE
162views Hardware» more  ICECCS 2010»
15 years 5 months ago
Trust-Based Adaptation in Complex Service-Oriented Systems
Abstract—Complex networks consisting of humans and software services, such as Web-based social and collaborative environments, typically require flexible and context-based inter...
Florian Skopik, Daniel Schall, Schahram Dustdar