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Comparison of Multiple Reinforcement Learning and Deep Reinforcement Learning Methods for the Task Aimed at Achieving the Goal 

Parak, Roman; Matousek, Radomil (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21)
Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) methods are a promising approach to solving complex tasks in the real world with physical robots. In this paper, we compare several reinforcement  ...

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AuthorMatousek, Radomil (1)Parak, Roman (1)Subject
Bézier spline (1)
Deep neural network (1)Motion planning (1)Reinforcement Learning (1)Robotics (1)
UR3 (1)
... View MoreDate Issued
2021 (1)

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