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ICMLA
2004

Variable resolution discretization in the joint space

9 years 2 months ago
Variable resolution discretization in the joint space
We present JoSTLe, an algorithm that performs value iteration on control problems with continuous actions, allowing this useful reinforcement learning technique to be applied to problems where a priori action discretization is inadequate. The algorithm is an extension of a variable resolution technique that works for problems with continuous states and discrete actions [6]. Results are given that indicate that JoSTLe is a promising step toward reinforcement learning in a fully continuous domain.
Christopher K. Monson, David Wingate, Kevin D. Sep
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICMLA
Authors Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson
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