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Considering the connection between black-box optimization problem and reinforcement learning (RL) problem, we can solve a RL problem by black-box optimization algorithm. Especially, extremum seeking (ES) is a notable black-box optimization algorithm, but there exist two studies which employs ES to solve a specific RL problem. In this study, we formulate such a general RL problem as which has a stochastic...
Recent studies pay attention to the similarity between black-box optimization problem and reinforcement learning (RL) problem. They expect that black-box optimization algorithm can solve RL problems. Among the black-box optimization algorithms, extremum seeking (ES) is a notable one. Two past studies implicitly solved RL problem using ES, but their problem settings were limited to linear deterministic...
For smooth interaction between human and robot, the robot should have an ability to manipulate human attention and behaviors. In this study, we developed a visual attention model for manipulating human attention by a robot. The model consists of two modules, such as the saliency map generation module and manipulation map generation module. The saliency map describes the bottom-up effect of visual...
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