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ECAI
2006
Springer
15 years 8 months ago
Strategic Foresighted Learning in Competitive Multi-Agent Games
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
138
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EPIA
1995
Springer
15 years 8 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
ECCV
2010
Springer
15 years 7 months ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
ACMIDC
2008
15 years 7 months ago
Tangible programming and informal science learning: making TUIs work for museums
In this paper we describe the design and initial evaluation of a tangible computer programming exhibit for children on display at the Boston Museum of Science. We also discuss fiv...
Michael S. Horn, Erin Treacy Solovey, Robert J. K....
AAAI
2010
15 years 6 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...