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14 years 3 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
ATAL
2008
Springer
15 years 6 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
164
Voted
IAT
2003
IEEE
15 years 9 months ago
SIMPLE - A Multi-Agent System for Simultaneous and Related Auctions
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
Ruy Luiz Milidiú, Taciana Melcop, Frederico...
ESANN
2008
15 years 6 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
ICMLC
2010
Springer
15 years 3 months ago
An ontology-supported ubiquitous interface agent for cloud computing - Example on Bluetooth wireless technique with Java program
: This paper focused on designing of a ubiquitous interface agent based on the ontology technology and interaction diagram with the backend information agent system, i.e., OntoIAS,...
Sheng-Yuan Yang, Chun-Liang Hsu, Dong-Liang Lee