QuickStart Guide

Welcome to Loopquest 🎉!

Install

pip install loopquest

Copy the following code and run it in your machine. The data will be recorded in Loopquest. Check the Github code for API details.

import loopquest

from loopquest.eval import evaluate_local_policy

from loopquest.policy.base import BasePolicy

class MyPolicy(BasePolicy):

  def __init__(self):

    # Implement your policy

    pass

  def compute_action(self, observation):

    # Implement your policy

    pass

loopquest.init()

policy = MyPolicy()

evaluate_local_policy(

  policy,

    "CartPole-v1",

    "MountainCar-v0",

    "LunarLander-v2",

],

  num_episodes=10,

  num_steps_per_episode=1000,

  project_name="Your Project Name",

  experiment_name="Your Experiment Name",

  project_description="Your Project Description",

  experiment_description="Your Experiment Description",

  # Feel free to record any experiment configs here as a dict

  experiment_configs={})

Then download the data generated by the experiment for foundation model training or offline Reinforcement Learning.

from loopquest.datasets import load_datasets

ds = load_datasets(["exp_id1", "exp_id2"])