Dataset Loader

This example focuses on:

  • Recorded episode dataset loader class usage

A dedicated section describing the dataset loader is presented here and provides additional details on its usage and purpose.

from diambra.arena.utils.diambra_data_loader import DiambraDataLoader
import argparse
import os

def main(dataset_path_input):
    if dataset_path_input is not None:
        dataset_path = dataset_path_input
        base_path = os.path.dirname(os.path.abspath(__file__))
        dataset_path = os.path.join(base_path, "dataset")

    data_loader = DiambraDataLoader(dataset_path)

    n_loops = data_loader.reset()

    while n_loops == 0:
        observation, action, reward, terminated, truncated, info = data_loader.step()
        print("Observation: {}".format(observation))
        print("Action: {}".format(action))
        print("Reward: {}".format(reward))
        print("Terminated: {}".format(terminated))
        print("Truncated: {}".format(truncated))
        print("Info: {}".format(info))

        if terminated or truncated:
            n_loops = data_loader.reset()

    # Return success
    return 0

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument('--dataset_path', type=str, default=None, help='Path to dataset')
    opt = parser.parse_args()