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GECCO
2005
Springer
16 years 1 days ago
Intelligent exploration method for XCS
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
Ali Hamzeh, Adel Rahmani
AE
2003
Springer
15 years 11 months ago
An Agent Model for First Price and Second Price Private Value Auctions
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
Anthony J. Bagnall, Iain Toft
ATAL
2007
Springer
16 years 21 days ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
IADIS
2003
15 years 8 months ago
E-Blended Learning for Distance Learners
E-blended learning as a new methodology will be explained. E-blended learning scenario for distance learners will include live sessions. During the last years we developed e-learn...
Jeanne Schreurs
ICMLA
2010
15 years 4 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...