rsrl 0.8.1

A fast, extensible reinforcement learning framework in Rust
Documentation 
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use crate::{
    domains::{Observation, Transition},
    fa::ScaledGradientUpdate,
    traces,
    Differentiable,
    Handler,
};

#[derive(Clone, Copy, Debug)]
#[cfg_attr(
    feature = "serde",
    derive(Serialize, Deserialize),
    serde(crate = "serde_crate")
)]
pub struct Response {
    pub td_error: f64,
}

#[derive(Clone, Debug, Parameterised)]
#[cfg_attr(
    feature = "serde",
    derive(Serialize, Deserialize),
    serde(crate = "serde_crate")
)]
pub struct TDLambda<F, T> {
    #[weights]
    pub fa_theta: F,
    pub trace: T,

    pub gamma: f64,
}

type Tr<S, F, R> = traces::Trace<<F as Differentiable<(S,)>>::Jacobian, R>;

impl<'m, S, A, F, R> Handler<&'m Transition<S, A>> for TDLambda<F, Tr<&'m S, F, R>>
where
    F: Differentiable<(&'m S,), Output = f64> +
        for<'j> Handler<ScaledGradientUpdate<&'j Tr<&'m S, F, R>>>,
    R: traces::UpdateRule<<F as Differentiable<(&'m S,)>>::Jacobian>,
{
    type Response = Response;
    type Error = ();

    fn handle(&mut self, transition: &'m Transition<S, A>) -> Result<Self::Response, Self::Error> {
        let from = transition.from.state();

        let pred = self.fa_theta.evaluate((from,));
        let grad = self.fa_theta.grad((from,));

        self.trace.update(&grad);

        match transition.to {
            Observation::Terminal(_) => {
                let td_error = transition.reward - pred;

                self.fa_theta.handle(ScaledGradientUpdate {
                    alpha: td_error,
                    jacobian: &self.trace,
                }).map_err(|_| ())?;

                self.trace.reset();

                Ok(Response { td_error, })
            },
            Observation::Full(ref to) | Observation::Partial(ref to) => {
                let td_error =
                    transition.reward + self.gamma * self.fa_theta.evaluate((to,)) - pred;

                self.fa_theta.handle(ScaledGradientUpdate {
                    alpha: td_error,
                    jacobian: &self.trace,
                }).map_err(|_| ())?;

                Ok(Response { td_error, })
            },
        }
    }
}