Resuable Q-learning and Q-learning Development Environment

I designed a resuable Q-learning software which can be applied various problems. However, it is not enough for beginners to use it. To reduce the effort to make actions and states of Q-learning for a problem, IDE for Q-learning was implemented. A user can organize states and actions in the IDE and exports the configuration as a XML file. Then, the Q-learning can import a XML file and create states and actions.

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TAME 2010

In 2010, Samsung Electronics and Gatech will create machine learning modules in support of affective behavior, specifically:
A)Using reinforcement (Q-)learning as the basis for adjusting the parameters of TAME and the underlying robotic behaviors, based on direct feedback of the user.
B) Using case-based reasoning (CBR) to store situation-specific affective parameters that can support discontinuous switching of TAME behavior based on user needs and situational requirements.
I am in charge of developing reusable Q-learning component in this project.

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