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    A Multistrategy Case-Based and Reinforcement Learning Approach to Self-Improving Reactive Control Systems for Autonomous Robotic Navigation 

    Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
    This paper presents a self-improving reactive control system for autonomous robotic navigation. The navigation module uses a schema-based reactive control system to perform the navigation task. The learning module ...
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    Learning of Parameter-Adaptive Reactive Controllers for Robotic Navigation 

    Ramesh, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1997)
    Reactive controllers are widely used in mobile robots because they are able to achieve successful performance in real-time. However, the configuration of a reactive controller depends highly on the operating conditions of ...
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    Knowledge Compilation and Speedup Learning in Continuous Task Domains 

    Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
    Many techniques for speedup learning and knowledge compilation focus on the learning and optimization of macro-operators or control rules in task domains that can be characterized using a problem-space search paradigm. ...
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    Multistrategy Learning in Reactive Control Systems for Autonomous Robotic Navigation 

    Ram, Ashwin; Santamaria, Juan Carlos (Georgia Institute of Technology, 1993)
    This paper presents a self-improving reactive control system for autonomous robotic navigation. The navigation module uses a schema-based reactive control system to perform the navigation task. The learning module combines ...
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    Experiments With Reinforcement Learning in Problems With Continuous State and Action Spaces 

    Ram, Ashwin; Santamaria, Juan Carlos; Sutton, Richard S. (Georgia Institute of Technology, 1996)
    A key element in the solution of reinforcement learning problems is the value function. The purpose of this function is to measure the long-term utility or value of any given state and it is important because an agent can ...
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    Multistrategy Learning of Adaptive Reactive Controllers 

    Santamaria, Juan Carlos; Ram, Ashwin (Georgia Institute of Technology, 1997)
    Reactive controllers has been widely used in mobile robots since they are able to achieve successful performance in real-time. However, the configuration of a reactive controller depends highly on the operating conditions ...

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    Author
    Santamaria, Juan Carlos (6)
    Ram, Ashwin (5)Ramesh, Ashwin (1)Sutton, Richard S. (1)Subject
    Reinforcement learning (6)
    Case-based reasoning (4)Reactive control (4)Adaptive control (3)Robot navigation (2)Robotic navigation (2)Continuous operators (1)Continuous state and action (1)Function approximators (1)Multi-strategy learning (1)... View MoreDate Issued1993 (3)1997 (2)1996 (1)Has File(s)Yes (6)
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