Trait RLStrategy 

pub trait RLStrategy<RLC>
where
    RLC: RLComponentsTypes,
{
    // Required method
    fn train_loop(
        &self,
        training_components: RLComponents<RLC>,
        learner_agent: &mut <RLC as RLComponentsTypes>::LearningAgent,
        starting_epoch: usize,
        env_init: <RLC as RLComponentsTypes>::EnvInit,
    ) -> (<RLC as RLComponentsTypes>::Policy, AsyncProcessorTraining<RLEvent<<RLC as RLComponentsTypes>::TrainingOutput, <RLC as RLComponentsTypes>::ActionContext>, AgentEvaluationEvent<<RLC as RLComponentsTypes>::ActionContext>>);

    // Provided method
    fn train(
        &self,
        learner_agent: <RLC as RLComponentsTypes>::LearningAgent,
        training_components: RLComponents<RLC>,
        env_init: <RLC as RLComponentsTypes>::EnvInit,
    ) -> RLResult<<RLC as RLComponentsTypes>::Policy> { ... }
}

Provides the fit function for any learning strategy

Required Methods

fn train_loop( &self, training_components: RLComponents<RLC>, learner_agent: &mut <RLC as RLComponentsTypes>::LearningAgent, starting_epoch: usize, env_init: <RLC as RLComponentsTypes>::EnvInit, ) -> (<RLC as RLComponentsTypes>::Policy, AsyncProcessorTraining<RLEvent<<RLC as RLComponentsTypes>::TrainingOutput, <RLC as RLComponentsTypes>::ActionContext>, AgentEvaluationEvent<<RLC as RLComponentsTypes>::ActionContext>>)

Training loop for this strategy

Provided Methods

fn train( &self, learner_agent: <RLC as RLComponentsTypes>::LearningAgent, training_components: RLComponents<RLC>, env_init: <RLC as RLComponentsTypes>::EnvInit, ) -> RLResult<<RLC as RLComponentsTypes>::Policy>

Train the learner agent with this strategy.

Implementors

impl<RLC> RLStrategy<RLC> for OffPolicyStrategy<RLC>

where RLC: RLComponentsTypes, <RLC as RLComponentsTypes>::PolicyObs: SliceAccess<<RLC as RLComponentsTypes>::Backend>, <RLC as RLComponentsTypes>::PolicyAction: SliceAccess<<RLC as RLComponentsTypes>::Backend>,