Reinforcement Learning for Robotic Reaching and Grasping

@inproceedings{Fagg1993ReinforcementLF,
  title={Reinforcement Learning for Robotic Reaching and Grasping},
  author={Andrew H. Fagg},
  year={1993}
}
A reinforcement learning approach is used to train a neural controller to perform a robotic reaching task. Unlike supervised learning techniques, where the teacher must provide the correct sequence of motor actions, only an evaluation of the robot's performance is provided. From this limited information, the robot must discover the appropriate motor programs that best satisfy the teacher's evaluation criterion. This type of learning approach is important because in a real-world environment, the… CONTINUE READING
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