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» Agents in Proactive Environments
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115
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ILP
2007
Springer
15 years 7 months ago
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
114
Voted
ESCIENCE
2005
IEEE
15 years 6 months ago
A Peer-to-Peer Extension of Network-Enabled Server Systems
DIET (Distributed Interactive Engineering Toolbox) is a set of hierarchical components to design Network Enabled Server (NES) systems. In these systems, clients ask to agents (dis...
Eddy Caron, Frederic Desprez, Cédric Tedesc...
118
Voted
IAT
2005
IEEE
15 years 6 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
ISORC
2005
IEEE
15 years 6 months ago
Adaptable Situation-Aware Secure Service-Based (AS3) Systems
Service-based systems have many applications, including collaborative research and development, e-business, health care, environmental control, military applications, and homeland...
Stephen S. Yau, Hasan Davulcu, Supratik Mukhopadhy...
ITCC
2005
IEEE
15 years 6 months ago
An Autonomous Pricing Strategy toward Market Economy in Computational Grids
One of the key steps in economy based grid resource allocation is to make reasonable prices for the grid resources. For resources’ prices decide the resource flow in the Grid, f...
Yang Jin, Shoubao Yang, Maosheng Li, Qianfei Fu