Quickstart

Python

To run experiments directly in Python and use your own custom components, simply import the get_algorithm_config function to build your own config. Then, pass your modified components and run the train function:

from unstable import train, get_algorithm_config

class MyModelSampler(BaseModelSampler):
     ...

config = get_algorithm_config("reinforce")
config['learner']['learning_rate'] = 1e-5
config['learner']['grad_clip'] = 0.2
config['replay_buffer']['max_buffer_size'] = 800
config['model_sampler']['type'] = MyModelSampler
checkpoint_path = train(config)