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» Learning to Play Chess Using Temporal Differences
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EDM
2008
97views Data Mining» more  EDM 2008»
15 years 1 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
DIGRA
2003
Springer
15 years 4 months ago
As if by Magic: On Harry Potter as a Novel and Computer Game
This paper examines the computer game Harry Potter and the Philosopher’s Stone in relation to the novel with the same title. The analysis focuses on the temporal aspects of the ...
Anna Gunder
ICML
2006
IEEE
15 years 5 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
IAT
2005
IEEE
15 years 5 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 3 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono