Struct ReinforcementLearningSelector 

pub struct ReinforcementLearningSelector { /* private fields */ }

Reinforcement learning algorithm selector

Implementations

impl ReinforcementLearningSelector

pub fn new() -> Self

Create new reinforcement learning selector

pub fn with_epsilon_greedy(&mut self, epsilon: f64) -> &mut Self

Configure epsilon for exploration

pub fn with_experience_replay(&mut self, enabled: bool) -> &mut Self

Enable experience replay

pub fn with_target_network(&mut self, enabled: bool) -> &mut Self

Enable target network

pub fn select_best_algorithm( &mut self, points: &ArrayView2<'_, f64>, ) -> SpatialResult<SpatialAlgorithm>

Select best algorithm for given data

pub fn update_q_values(&mut self, experience: Experience) -> SpatialResult<()>

Update Q-values based on experience

Trait Implementations

impl Clone for ReinforcementLearningSelector

fn clone(&self) -> ReinforcementLearningSelector

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ReinforcementLearningSelector

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ReinforcementLearningSelector

fn default() -> Self

Returns the “default value” for a type.