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    IROS
    2007
    IEEE
    144views Robotics» more  IROS 2007»
    Using reinforcement learning to adapt an imitation task
    14 years 1 months ago
    Using reinforcement learning to adapt an imitation task
    Download  lasa.epfl.ch
    Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
    Florent Guenter, Aude Billard
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    ICRA
    2009
    IEEE
    132views Robotics» more  ICRA 2009»
    Smoothed Sarsa: Reinforcement learning for robot delivery tasks
    14 years 2 months ago
    Smoothed Sarsa: Reinforcement learning for robot delivery tasks
    Download  alumni.media.mit.edu
    — Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
    Deepak Ramachandran, Rakesh Gupta
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    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    13 years 9 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    Download  www.aaai.org
    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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    NIPS
    2000
    127views Information Technology» more  NIPS 2000»
    Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
    13 years 8 months ago
    Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
    Download  members.chello.at
    The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
    Brian Sallans, Geoffrey E. Hinton
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    FLAIRS
    1998
    132views Artificial Intelligence» more  FLAIRS 1998»
    Analytical Design of Reinforcement Learning Tasks
    13 years 8 months ago
    Analytical Design of Reinforcement Learning Tasks
    Download  www.aaai.org
    Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
    Robert E. Smith
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