Autonomous Action by Learning Group Action Protocols and Case-Based Reasoning
Technical Report,07 Sep 2017,06 Sep 2018
John von Neumann Institute Ho Chi Minh City Vietnam
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The PI has been successful in their tasks for this research grant. They were able to develop and test a new learning theory and algorithms that can learn recommended sequence of actions for heterogeneous and temporal objects, and tested the new algorithm to create treatment actions for a patient. The method developed is generic enough to be applicable to many autonomous systems with appropriate adaptations. There was 1 conference paper and one submitted journal paper as a direct result of this grant.