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» Abstracting Reusable Cases from Reinforcement Learning
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Publication
233views
13 years 8 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
ROBOCUP
2007
Springer
167views Robotics» more  ROBOCUP 2007»
15 years 3 months ago
Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Kentarou Noma, Yasutake Takahashi, Minoru Asada
NIPS
1996
14 years 10 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
IBERAMIA
2004
Springer
15 years 2 months ago
Dynamic Case Base Maintenance for a Case-Based Reasoning System
Abstract. The success of a case-based reasoning system depends critically on the relevance of the case base. Much current CBR research focuses on how to compact and refine the con...
Maria Salamó, Elisabet Golobardes
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Consistent Goal-Directed User Model for Realisitc Man-Machine Task-Oriented Spoken Dialogue Simulation
Because of the great variability of factors to take into account, designing a spoken dialogue system is still a tailoring task. Rapid design and reusability of previous work is ma...
Olivier Pietquin