the learning part

Reset all the environments and return an array of observations, or a dict of observation arrays. If step_async is still doin

Sampling in the reparameterization case.

Set logging threshold on current logger.

Step the environments synchronously. This is available for backwards compatibility.

Arguments: env_fns: iterable of callables - functions that create environments to run in subprocesses. Need to be cloud-pickleable

Sample initial states by taking random number of no-ops on reset. No-op is assumed to be action 0.

Take action on reset for environments that are fixed until firing.

Make end-of-life == end-of-episode, but only reset on true game over. Done by DeepMind for the DQN and co. since it helps value estimation.

Return only every `skip`-th frame

Stack k last frames. Returns lazy array, which is much more memory efficient. See Also -------- baselines.common.ata

This object ensures that common frames between the observations are only stored once. It exists purely to optimize memory usage which can be h