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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
CORR
2010
Springer
197views Education» more  CORR 2010»
13 years 6 months ago
Hedonic Coalition Formation for Distributed Task Allocation among Wireless Agents
—Autonomous wireless agents such as unmanned aerial vehicles, mobile base stations, or self-operating wireless nodes present a great potential for deployment in next-generation w...
Walid Saad, Zhu Han, Tamer Basar, Mérouane ...
ATAL
2004
Springer
14 years 1 months ago
Adaptive, Confidence-Based Multiagent Negotiation Strategy
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-is...
Leen-Kiat Soh, Xin Li
OTM
2005
Springer
14 years 1 months ago
An Hybrid Intermediation Architectural Approach for Integrating Cross-Organizational Services
Nowadays, workflow research has shifted from fundamentals of workflow modelling and enactment towards improvement of the workflow modelling lifecycle and integration of workflow en...
Giannis Verginadis, Panagiotis Gouvas, Gregoris Me...
CIIA
2009
13 years 9 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali