— This paper proposes a learning framework for a CPG-based biped locomotion controller using a policy gradient method. Our goal in this study is to develop an efficient learning...
Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, ...
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
This paper describes a new theory of peer-to-peer learning and teaching that we call paragogy. Paragogy's principles were developed by adapting the Knowles's principles...
Currently, there is no standard instrument for evaluating learning effectiveness. While final examinations and end-of-semester course evaluation surveys can be used to do this, th...