Enum AgentEvaluationEvent 

pub enum AgentEvaluationEvent<T> {
    Start(usize),
    EnvStep(EvaluationItem<T>),
    EpisodeEnd(EvaluationItem<EpisodeSummary>),
    End,
}

Event happening during evaluation of a reinforcement learning’s agent.

Variants

Start(usize)

Signal the start of the process (e.g., training start)

EnvStep(EvaluationItem<T>)

Signal a timestep of the agent-environment interface.

EpisodeEnd(EvaluationItem<EpisodeSummary>)

Signal an episode end.

End

Signal the end of the process (e.g., training end).

Trait Implementations

impl<TS, ES> EventProcessorTraining<RLEvent<TS, ES>, AgentEvaluationEvent<ES>> for RLEventProcessor<TS, ES>

where TS: ItemLazy, ES: ItemLazy,

fn process_train( &mut self, event: RLEvent<TS, ES>, ) -> Result<(), EventProcessorError>

Collect a training event.

fn process_valid( &mut self, event: AgentEvaluationEvent<ES>, ) -> Result<(), EventProcessorError>

Collect a validation event.

fn renderer(self) -> Box<dyn MetricsRenderer>

Returns the renderer used for training.

fn flush(&mut self) -> Result<(), EventProcessorError>

Wait until previously submitted events are processed (no-op for sync processors).