Struct RandomAgent 

pub struct RandomAgent { /* private fields */ }

A random policy.

Implementations

impl RandomAgent

pub fn n_opts_steps(&self) -> usize

Returns the number of optimization steps;

Trait Implementations

impl<R: ReplayBufferBase> Agent<BorderAtariEnv<BorderAtariObs, BorderAtariAct, BorderAtariObsRawFilter<BorderAtariObs>, BorderAtariActRawFilter<BorderAtariAct>>, R> for RandomAgent

fn train(&mut self)

Switches the agent to training mode.

fn eval(&mut self)

Switches the agent to evaluation mode.

fn is_train(&self) -> bool

Returns whether the agent is currently in training mode.

fn opt_with_record(&mut self, _buffer: &mut R) -> Record

Performs an optimization step and returns training metrics.

fn save_params(&self, _path: &Path) -> Result<Vec<PathBuf>>

Saves the agent’s parameters to the specified directory.

fn load_params(&mut self, _path: &Path) -> Result<()>

Loads the agent’s parameters from the specified directory.

fn as_any_mut(&mut self) -> &mut dyn Any

Returns a mutable reference to the agent as a type-erased Any value.

fn as_any_ref(&self) -> &dyn Any

Returns a reference to the agent as a type-erased Any value.

fn opt(&mut self, buffer: &mut R)

Performs a single optimization step using experiences from the replay buffer.

impl Configurable for RandomAgent

type Config = RandomAgentConfig

The configuration type for this object.

fn build(config: Self::Config) -> Self

Builds a new instance of this object from the given configuration.

fn build_from_path(path: impl AsRef<Path>) -> Result<Self, Error>

where Self: Sized,

Builds a new instance from a YAML configuration file.

impl Policy<BorderAtariEnv<BorderAtariObs, BorderAtariAct, BorderAtariObsRawFilter<BorderAtariObs>, BorderAtariActRawFilter<BorderAtariAct>>> for RandomAgent

fn sample(&mut self, _: &Obs) -> Act

Samples an action given an observation from the environment.