Struct RLComponents

pub struct RLComponents<RLC>where
    RLC: RLComponentsTypes,{
    pub label: Option<String>,
    pub num_steps: usize,
    pub checkpoint: Option<usize>,
    pub checkpointer: Option<RLCheckpointer<RLC>>,
    pub grad_accumulation: Option<usize>,
    pub interrupter: Interrupter,
    pub event_processor: AsyncProcessorTraining<RLEvent<<RLC as RLComponentsTypes>::TrainingOutput, <RLC as RLComponentsTypes>::ActionContext>, AgentEvaluationEvent<<RLC as RLComponentsTypes>::ActionContext>>,
    pub event_store: Arc<EventStoreClient>,
    pub summary: Option<LearnerSummaryConfig>,
    pub inference_device: Device,
}

Expand description

Struct to minimise parameters passed to RLStrategy::train.

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§label: Option<String>

An optional label for this training.

§num_steps: usize

The total number of environment steps.

§checkpoint: Option<usize>

The step number from which to continue the training.

§checkpointer: Option<RLCheckpointer<RLC>>

A checkpointer used to load and save learning checkpoints.

§grad_accumulation: Option<usize>

Enables gradients accumulation.

§interrupter: Interrupter

An Interupter that allows aborting the training/evaluation process early.

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event_processor: AsyncProcessorTraining<RLEvent<<RLC as RLComponentsTypes>::TrainingOutput, <RLC as RLComponentsTypes>::ActionContext>, AgentEvaluationEvent<<RLC as RLComponentsTypes>::ActionContext>>

An EventProcessor that processes events happening during training and evaluation.

§event_store: Arc<EventStoreClient>

A reference to an EventStoreClient.

§summary: Option<LearnerSummaryConfig>

Config for creating a summary of the learning

§inference_device: Device

Device used for running inference during environmment sampling or validation.

Auto Trait Implementations§

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impl<RLC> Send for RLComponents<RLC>

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