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FLAIRS
2003
13 years 6 months ago
Advantages of Brahms for Specifying and Implementing a Multiagent Human-Robotic Exploration System
We have developed a model-based, distributed architecture that integrates diverse components in a system designed for lunar and planetary surface operations: an astronaut’s spac...
William J. Clancey, Maarten Sierhuis, Charis Kaski...
CN
2006
106views more  CN 2006»
13 years 5 months ago
Model-based end-to-end available bandwidth inference using queueing analysis
End-to-end available bandwidth estimation between Internet hosts is important to understand network congestion and enhance the performance of Quality-of-Service (QoS) demanding ap...
Xiaojun Hei, Brahim Bensaou, Danny H. K. Tsang
JVCIR
2006
163views more  JVCIR 2006»
13 years 5 months ago
Layered H.264 video transmission with hierarchical QAM
In multimedia communication systems, channel bandwidth and probability of error are the two main limitations that affect the quality of service. Therefore, in applications such as...
Mohammad Mahdi Ghandi, Mohammed Ghanbari
IEICET
2007
73views more  IEICET 2007»
13 years 5 months ago
An ON-OFF Multi-Rate Loss Model of Finite Sources
Bursty traffic is dominant in modern communication networks and keeps the call-level QoS assessment an open issue. ON-OFF traffic models are commonly used to describe bursty tra...
Ioannis D. Moscholios, Michael D. Logothetis, Mich...
AI
1998
Springer
13 years 5 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok