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    » Coordination in multiagent reinforcement learning: a Bayesia...
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    ICML
    2007
    IEEE
    200views Machine Learning» more  ICML 2007»
    Multi-task reinforcement learning: a hierarchical Bayesian approach
    14 years 7 months ago
    Multi-task reinforcement learning: a hierarchical Bayesian approach
    Download  www.machinelearning.org
    We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
    Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
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    ESANN
    2006
    72views Neural Networks» more  ESANN 2006»
    A multiagent architecture for concurrent reinforcement learning
    13 years 8 months ago
    A multiagent architecture for concurrent reinforcement learning
    Download  www.dice.ucl.ac.be
    In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
    Victor Uc Cetina
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    ICAART
    2010
    INSTICC
    136views Intelligent Agents» more  ICAART 2010»
    A Reinforcement Learning Approach for Multiagent Navigation
    14 years 4 months ago
    A Reinforcement Learning Approach for Multiagent Navigation
    Download  scalab.uc3m.es
    Francisco Martinez-Gil, Fernando Barber, Miguel Lo...
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    IJAIT
    2008
    60views more  IJAIT 2008»
    A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion
    13 years 7 months ago
    A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion
    Download  lpis.csd.auth.gr
    Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
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    ROBOCUP
    2005
    Springer
    134views Robotics» more  ROBOCUP 2005»
    Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
    14 years 14 days ago
    Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
    Download  www.er.ams.eng.osaka-u.ac.jp
    The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
    Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
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