Policy gradient learning for a humanoid soccer robot
نویسندگان
چکیده
منابع مشابه
Policy gradient learning for a humanoid soccer robot
In humanoid robotic soccer, many factors, both at low-level (e.g., vision and motion control) and at high-level (e.g., behaviors and game strategies), determine the quality of the robot performance. In particular, the speed of individual robots, the precision of the trajectory, and the stability of the walking gaits, have a high impact on the success of a team. Consequently, humanoid soccer rob...
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ژورنال
عنوان ژورنال: Robotics and Autonomous Systems
سال: 2009
ISSN: 0921-8890
DOI: 10.1016/j.robot.2009.03.006