garage.sampler.batch_sampler module

Class with batch-based sampling.

class BatchSampler(algo, env)

Bases: garage.sampler.sampler_deprecated.BaseSampler

Class with batch-based sampling.

Parameters:

• algo (garage.np.algos.RLAlgorithm) – The algorithm.
• env (gym.Env) – The environment.

obtain_samples(itr, batch_size=None, whole_paths=True)

Sample the policy for new trajectories.

Parameters:

• itr (int) – Number of iteration.
• batch_size (int) – Number of environment steps in one batch.
• whole_paths (bool) – Whether to use whole path or truncated.

Returns:

A list of paths.

Return type:

list[dict]

shutdown_worker()

Shutdown workers.

start_worker()

Start workers.