Struct RLAgent 

pub struct RLAgent { /* private fields */ }

Main RL Agent for stream optimization

Implementations

impl RLAgent

pub fn new(config: RLConfig) -> Result<Self>

Create a new RL agent

pub async fn initialize_networks(&mut self, state_dim: usize) -> Result<()>

Initialize neural networks (for DQN/Actor-Critic)

pub async fn select_action(&self, state: &State) -> Result<Action>

Select an action given current state

pub async fn learn( &mut self, state: &State, action: Action, reward: f64, next_state: &State, ) -> Result<()>

Learn from experience (update model)

pub async fn end_episode(&mut self) -> Result<()>

End episode and record statistics

pub async fn get_stats(&self) -> RLStats

Get RL statistics

pub async fn get_epsilon(&self) -> f64

Get current epsilon

pub async fn set_epsilon(&mut self, epsilon: f64)

Set epsilon (for exploration control)

pub async fn export_policy(&self) -> Result<String>

Export policy for deployment