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    IJCAI
    2007
    248views Artificial Intelligence» more  IJCAI 2007»
    Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
    14 years 11 months ago
    Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
    Download  www.cc.gatech.edu
    The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
    Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
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    ICML
    2005
    IEEE
    121views Machine Learning» more  ICML 2005»
    Combining model-based and instance-based learning for first order regression
    15 years 10 months ago
    Combining model-based and instance-based learning for first order regression
    Download  www.cs.kuleuven.ac.be
    T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
    Kurt Driessens, Saso Dzeroski
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    ICML
    2007
    IEEE
    141views Machine Learning» more  ICML 2007»
    Reinforcement learning by reward-weighted regression for operational space control
    15 years 10 months ago
    Reinforcement learning by reward-weighted regression for operational space control
    Download  www.machinelearning.org
    Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
    Jan Peters, Stefan Schaal
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    ICMLA
    2003
    159views Machine Learning» more  ICMLA 2003»
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    14 years 11 months ago
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    Download  mysite.verizon.net
    — This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
    Myriam Abramson, Harry Wechsler
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    NIPS
    2008
    129views Information Technology» more  NIPS 2008»
    Structure Learning in Human Sequential Decision-Making
    14 years 11 months ago
    Structure Learning in Human Sequential Decision-Making
    Download  www-users.cs.umn.edu
    We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
    Daniel Acuña, Paul R. Schrater
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