Getting started¶

Install BlobRL¶

Initializing an environment¶

import gym
env = gym.make("CartPole-v1")

Initializing an agent¶

from blobrl.agents import AgentRandom
action_space = env.action_space
observation_space = env.observation_space
agent = AgentRandom(observation_space=observation_space, action_space=action_space)

Training¶

Create Trainer

from blobrl import Trainer
trainer = Trainer(environment=env, agent=agent)

Start training:

trainer.train(render=True)

Visualize training metrics:

tensorboard --logdir runs

Evaluation¶

Not implemented yet