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    AAAI
    1998
    168views Intelligent Agents» more  AAAI 1998»
    Opponent Modeling in Poker
    13 years 11 months ago
    Opponent Modeling in Poker
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    Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent m...
    Darse Billings, Denis Papp, Jonathan Schaeffer, Du...
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    FLAIRS
    1998
    130views Artificial Intelligence» more  FLAIRS 1998»
    Learning to Race: Experiments with a Simulated Race Car
    13 years 11 months ago
    Learning to Race: Experiments with a Simulated Race Car
    Download  www.aaai.org
    Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
    Larry D. Pyeatt, Adele E. Howe
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    AAAI
    1996
    191views Intelligent Agents» more  AAAI 1996»
    Evolution-Based Discovery of Hierarchical Behaviors
    13 years 11 months ago
    Evolution-Based Discovery of Hierarchical Behaviors
    Download  www.aaai.org
    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
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    ICGA
    1993
    145views Optimization» more  ICGA 1993»
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    13 years 11 months ago
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    Download  bi.snu.ac.kr
    A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
    Byoung-Tak Zhang, Heinz Mühlenbein
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    NIPS
    1993
    92views Information Technology» more  NIPS 1993»
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
    13 years 11 months ago
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
    Download  www.ri.cmu.edu
    Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
    Andrew W. Moore
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