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We introduce our approach that makes a robot learn to behave adequately to accomplish a given task at hand through the interactions with its environment with less a priori knowledge about the environment or the robot itself. We briefly present three research topics of vision-based robot learning in each of which visual perception is tightly coupled with actuator effects so as to learn an adequate behavior. First, a method of vision-based reinforcement learning by which a robot learns to shoot adoi:10.1007/978-1-4471-1021-7_31 fatcat:3ckgrgrt65cnhlj5n43u5ahcha