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class MDP extends AnyRef

The MDP class provides Markov Decision Processes.

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Instance Constructors

  1. new MDP(t: Tensor3D, r: Tensor3D, g: Double = 0.9, thr: Double = 1E-4)

    t

    the transitional conditional probability t(s1, a, s2) = P(s2 | s1, a), where s1, s2 in S, a in A

    r

    the reward tensor r(s1, a, s2)

    g

    the discount factor in (0, 1)

    thr

    the threshold (stop when v changes little)

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  9. def getPi: VectoI

    Return the optimal policy, i.e., the best action for each state.

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  14. final def notifyAll(): Unit
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  15. def optimize: (VectoD, MatriD)

    Determine optimal values for the state value function 'v' and the state-action value function 'q'.

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  1. def finalize(): Unit
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