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IJCAI
2007
15 years 2 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
VR
2008
IEEE
202views Virtual Reality» more  VR 2008»
15 years 20 days ago
FARMTASIA: an online game-based learning environment based on the VISOLE pedagogy
Virtual interactive student-oriented learning environment (VISOLE) is a game-based constructivist pedagogical approach that encompasses the creation of an online interactive world ...
Kevin K. F. Cheung, Morris Siu Yung Jong, Fong Lok...
123
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ACG
2009
Springer
15 years 7 months ago
Automated Discovery of Search-Extension Features
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
Pálmi Skowronski, Yngvi Björnsson, Mar...
AAAI
2010
15 years 1 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
113
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ICMLA
2009
14 years 10 months ago
Multiagent Transfer Learning via Assignment-Based Decomposition
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Scott Proper, Prasad Tadepalli