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LAMAS
2005
Springer
16 years 10 hour 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 ...
TACAS
2005
Springer
120views Algorithms» more  TACAS 2005»
15 years 12 months ago
Symbolic Test Selection Based on Approximate Analysis
This paper addresses the problem of generating symbolic test cases for testing the conformance of a black-box implementation with respect to a specification, in the context of rea...
Bertrand Jeannet, Thierry Jéron, Vlad Rusu,...
ACMICEC
2004
ACM
161views ECommerce» more  ACMICEC 2004»
15 years 12 months ago
The 2003 Supply Chain Management Trading Agent Competition
Supply Chain Management deals with the planning and coordination of bidding, production and procurement activities across the multiple organizations involved in the delivery of on...
Raghu Arunachalam, Norman M. Sadeh
INFOCOM
2003
IEEE
15 years 11 months ago
A Utility-Based Congestion Control Scheme for Internet-Style Networks with Delay
— In this paper, we develop, analyze and implement a congestion control scheme obtained in a noncooperative game framework where each user’s cost function is composed of a pric...
Tansu Alpcan, Tamer Basar
WECWIS
2003
IEEE
120views ECommerce» more  WECWIS 2003»
15 years 11 months ago
Reinforcement Learning Applications in Dynamic Pricing of Retail Markets
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
C. V. L. Raju, Y. Narahari, K. Ravikumar