Struct RLAgent 

pub struct RLAgent { /* private fields */ }

Reinforcement Learning Agent

Implementations

impl RLAgent

pub fn new(config: QLearningConfig) -> Self

pub async fn select_action(&self, state: &SystemState) -> RemediationAction

Select action using epsilon-greedy policy

pub async fn update( &mut self, state: &SystemState, action: &RemediationAction, reward: f64, next_state: &SystemState, )

Update Q-value based on observed outcome

pub fn calculate_reward(&self, before: &SystemState, after: &SystemState) -> f64

Calculate reward based on outcome

pub async fn get_stats(&self) -> HashMap<String, Value>

Get policy statistics

pub async fn save_model(&self, path: &str) -> Result<()>

Save Q-table to disk

pub async fn load_model(&mut self, path: &str) -> Result<()>

Load Q-table from disk