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LAMAS
2005
Springer
16 years 4 days ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
NORMAS
2005
Springer
16 years 4 days ago
A Framework for the Design of Self-Regulation of Open Agent-based Electronic Marketplaces
In this paper, we argue that allowing self-interested agents to activate social institutions during run-time can improve the robustness (i.e., stability, cooperation or fairness) ...
Christian S. Hahn, Bettina Fley, Michael Florian
IUI
2004
ACM
16 years 2 days ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
APNOMS
2006
Springer
15 years 10 months ago
End-to-End QoS Monitoring Tool Development and Performance Analysis for NGN
This paper intends to introduce the development of a terminal agent for QoS measurement that is suitable for an NGN environment, and to summarize the results of its performance tes...
ChinChol Kim, SangChul Shin, Sang Yong Ha, SunYoun...
CIA
2006
Springer
15 years 10 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek