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» An Intelligent Lessons Learned Process
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139
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CEC
2009
IEEE
15 years 9 months ago
On-line neuroevolution applied to The Open Racing Car Simulator
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
146
Voted
PRICAI
2000
Springer
15 years 6 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
IDEAL
2009
Springer
15 years 9 months ago
A Multi-agent System to Learn from Oceanic Satellite Image Data
This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carb...
Rosa Cano, Angélica González, Juan F...
IEEEICCI
2003
IEEE
15 years 7 months ago
Analogy of Incremental Program Development and Constructivist Learning
During software evolution, programmers add new functionalities and release new versions of software. This complicated work involves not only program development but also learning ...
Václav Rajlich, Shaochun Xu
JGO
2010
117views more  JGO 2010»
15 years 26 days ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu