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INFOCOM
2008
IEEE
16 years 1 months ago
On the Design of Load Factor based Congestion Control Protocols for Next-Generation Networks
— Load factor based congestion control schemes have shown to enhance network performance, in terms of utilization, packet loss and delay. In these schemes, using more accurate re...
Ihsan A. Qazi, Taieb Znati
ATAL
2007
Springer
16 years 25 days ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
IJCNN
2006
IEEE
16 years 20 days ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002
IJCAI
2007
15 years 8 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
KES
2004
Springer
16 years 55 min ago
A Hybrid Learning Approach for TV Program Personalization
The rapid growth of communication technologies and the invention of set-top-box (STB) and personal digital recorder (PDR) have enabled today’s television to receive and store tre...
Zhiwen Yu, Xingshe Zhou, Zhiyi Yang