Q-Learning for Robot Control
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Description
Q-Learning is a method for solving reinforcement learning problems. Reinforcement learning problems require improvement of behaviour based on received rewards. Q-Learning has the potential to reduce robot programming effort and increase the range of robot abilities. However, most currentQ-learning systems are not suitable for robotics problems: they treat continuous variables, for example speeds or positions, as discretised values. Discretisation does not allow smooth control and does not fully...[Show more]
Collections | Open Access Theses |
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Date published: | 2002 |
Type: | Thesis (PhD) |
URI: | http://hdl.handle.net/1885/47080 |
DOI: | 10.25911/5d7a2a09a7dfd |
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01front.pdf | 151.34 kB | Adobe PDF | ||
02whole.pdf | 3.15 MB | Adobe PDF |
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