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» Learning for stochastic dynamic programming
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131
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KES
2000
Springer
15 years 6 months ago
On AIE-ASM: a software to simulate artificial stock markets with genetic programming
Agent-based computational economic modeling requires demanding work on computer programming. Usually, the publications as outcomes of running these programs do not provide readers ...
Shu-Heng Chen, Chung-Chih Liao, Chia-Hsuan Yeh
146
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JOLLI
2008
145views more  JOLLI 2008»
15 years 2 months ago
Temporal Languages for Epistemic Programs
This paper adds temporal logic to public announcement logic (PAL) and dynamic epistemic logic (DEL). By adding a previous-time operator to PAL, we express in the language statemen...
Joshua Sack
117
Voted
COGSCI
2004
97views more  COGSCI 2004»
15 years 2 months ago
A rhythm recognition computer program to advocate interactivist perception
This paper advocates the main ideas of the interactive model of representation of Mark Bickhard and the assimilation/accommodation framework of Jean Piaget, through a rhythm recog...
Jean-Christophe Buisson
159
Voted
AAAI
1996
15 years 4 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
120
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NIPS
1996
15 years 4 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair