Trait rsrl::fa::Parameterised

pub trait Parameterised {
    fn weights(&self) -> ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>;
}

An interface for approximators parameterised by a set of weights.

Required Methods

fn weights(&self) -> ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>

Return a copy of the approximator weights.

Implementations on Foreign Types

impl<T> Parameterised for Box<T, Global>where
    T: Parameterised,

fn weights(&self) -> ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>

Implementors

impl Parameterised for ScalarFunction

impl Parameterised for VectorFunction

impl<I, P, A> Parameterised for LFA<I, P, A>where
    P: Projector<I>,
    A: Approximator<Projection> + Parameterised,
    I: ?Sized,

impl<S, M, P> Parameterised for TOQLambda<S, M, P>where
    M: Projector<S>,
    P: Policy<S, Action = usize>,

impl<S, M, P> Parameterised for TOSARSALambda<S, M, P>where
    M: Projector<S>,
    P: Policy<S, Action = usize>,

impl<S, M: Projector<S>> Parameterised for Gaussian1d<S, M>

impl<S, M: Projector<S>> Parameterised for Gibbs<S, M>

impl<S, M: Projector<S>, P: Policy<S, Action = usize>> Parameterised for GreedyGQ<S, M, P>

impl<S, M: Projector<S>, P: Policy<S, Action = usize>> Parameterised for QLambda<S, M, P>

impl<S, M: Projector<S>, P: Policy<S, Action = usize>> Parameterised for SARSALambda<S, M, P>

impl<S, P, C> Parameterised for BaselineREINFORCE<S, P, C>where
    P: ParameterisedPolicy<S>,
    P::Action: Clone,
    C: Predictor<S, P::Action>,

impl<S, P: Policy<S> + Parameterised> Parameterised for REINFORCE<S, P>

impl<S, P: Projector<S>> Parameterised for GTD2<S, P>

impl<S, P: Projector<S>> Parameterised for TDC<S, P>

impl<S, P: Projector<S>> Parameterised for TDLambda<S, P>

impl<S, Q, P> Parameterised for ExpectedSARSA<S, Q, P>where
    Q: QFunction<S> + Parameterised,
    P: FinitePolicy<S>,

impl<S, Q, P> Parameterised for PAL<S, Q, P>where
    Q: QFunction<S> + Parameterised,
    P: Policy<S, Action = usize>,

impl<S, Q, P> Parameterised for QLearning<S, Q, P>where
    Q: QFunction<S> + Parameterised,
    P: Policy<S, Action = usize>,

impl<S, Q, P> Parameterised for QSigma<S, Q, P>where
    Q: QFunction<S> + Parameterised,
    P: Policy<S, Action = usize>,

impl<S, Q: QFunction<S> + Parameterised, P: FinitePolicy<S>> Parameterised for SARSA<S, Q, P>

impl<S, V: VFunction<S> + Parameterised> Parameterised for GradientMC<S, V>

impl<S, V: VFunction<S> + Parameterised> Parameterised for TD<S, V>