bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
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cengine::search Namespace Reference

Classes

class  RRT
 The RRT class models a Rapidly-Exploring Random Tree see: http://msl.cs.uiuc.edu/~lavalle/papers/Lav98c.pdf The NodeData most frequently will represent the state type modeled. It corresponds to the types of \(x_{rand}\) and \(x_{new}\) from the paper cited above. The EdgeData type corresponds to the type of \(u\) in the paper. It is the input that should subsequently be applied to reach from one state to another and this is what the applications most often will use. More...