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» Learning Simulation Control in General Game-Playing Agents
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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 4 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ATAL
2006
Springer
15 years 1 months ago
Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace
The "ZIP" adaptive trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets. The original Z...
Dave Cliff
AIED
2005
Springer
15 years 3 months ago
Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure
Our goal in this work has been to bring together the entertaining and flow characteristics of video game environments with proven learning theories to advance the state of the art ...
Jason Tan, Chris Beers, Ruchi Gupta, Gautam Biswas
AAAI
1990
14 years 11 months ago
Operationality Criteria for Recursive Predicates
Current explanation-based generalization (EBG) techniques can perform badly when the problem being solved involves recursion. Often an infinite series of learned concepts are gene...
Stanley Letovsky
CEC
2005
IEEE
15 years 3 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...