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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
198
Voted
SIAMIS
2010
190views more  SIAMIS 2010»
15 years 1 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
TON
2012
13 years 8 months ago
Latency Equalization as a New Network Service Primitive
—Multiparty interactive network applications such as teleconferencing, network gaming, and online trading are gaining popularity. In addition to end-to-end latency bounds, these ...
Minlan Yu, Marina Thottan, Li (Erran) Li
RTAS
2007
IEEE
16 years 17 days ago
Performance Debugging of Real-Time Systems Using Multicriteria Schedulability Analysis
Most of today’s real-time embedded systems consist of a heterogeneous mix of fully-programmable processors, fixed-function components or hardware accelerators, and partially-pr...
Unmesh D. Bordoloi, Samarjit Chakraborty
SIROCCO
2004
15 years 7 months ago
Time Efficient Gossiping in Known Radio Networks
We study here the gossiping problem (all-to-all communication) in known radio networks, i.e., when all nodes are aware of the network topology. We start our presentation with a det...
Leszek Gasieniec, Igor Potapov, Qin Xin