Struct NeuralRLStepController 

pub struct NeuralRLStepController<F: IntegrateFloat + GpuDataType> { /* private fields */ }

Neural reinforcement learning step size controller

Implementations

impl<F: IntegrateFloat + GpuDataType + Default> NeuralRLStepController<F>

pub fn new() -> IntegrateResult<Self>

Create a new neural RL step controller

pub fn initialize( &self, problem_size: usize, initialstep_size: F, problem_type: &str, ) -> IntegrateResult<()>

Initialize the RL agent with problem characteristics

pub fn predict_optimalstep( &self, currentstep: F, currenterror: F, problem_state: &ProblemState<F>, performance_metrics: &PerformanceMetrics<F>, ) -> IntegrateResult<StepSizePrediction<F>>

Predict optimal step size using the trained RL agent

pub fn train_on_experience( &self, previous_state: &Array1<F>, action_taken: usize, reward: F, current_state: &Array1<F>, done: bool, ) -> IntegrateResult<TrainingResult<F>>

Train the RL agent with the outcome of the previous step

pub fn gpu_accelerated_training(&self) -> IntegrateResult<()>

Update the neural network using GPU-accelerated training

pub fn evaluate_performance(&self) -> IntegrateResult<RLEvaluationResults>

Evaluate the performance of the RL agent

pub fn adaptive_hyperparameter_tuning(&mut self) -> IntegrateResult<()>

Adaptive hyperparameter tuning based on performance