Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach

Self Task Decomposition for Modular Learning System Through Interpretation of Instruction by Coach
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通过教练解释的模块化学习系统的自我任务分解

DOI:
10.1007/11780519_64
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发表时间:
2005
期刊:
Clinical Chemistry and Laboratory Medicine (CCLM)
影响因子:
--
通讯作者:
M. Asada
M. Asada
中科院分区:
--
文献类型:
--
作者:
Yasutake Takahashi;Tomoki Nishi;M. Asada

文献摘要

被引文献

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RL应用于真实的机器人任务的最棘手的问题之一是如何找到一个合适的状态空间,这已经变得更加严重,因为最近的机器人往往有更多的传感器和环境,包括其他机器人变得更加复杂。科普这一问题,提出了一种基于教练指令自解释的模块化学习系统自任务分解方法。所提出的方法被应用到一个简单的足球的情况下,在RoboCup。
One of the most formidable issues of RL application to real robot tasks is how to find a suitable state space, and this has been much more serious since recent robots tends to have more sensors and the environment including other robots becomes more complicated. In order to cope with the issue, this paper presents a method of self task decomposition for modular learning system based on self-interpretation of instructions given by a coach. The proposed method is applied to a simple soccer situation in the context of RoboCup.