|
|
|
@@ -9,7 +9,7 @@ except ImportError:
|
|
|
|
|
MPI = None
|
|
|
|
|
|
|
|
|
|
import gym
|
|
|
|
|
from gym.wrappers import FlattenDictWrapper
|
|
|
|
|
from gym.wrappers import FlattenObservation, FilterObservation
|
|
|
|
|
from baselines import logger
|
|
|
|
|
from baselines.bench import Monitor
|
|
|
|
|
from baselines.common import set_global_seeds
|
|
|
|
@@ -81,8 +81,7 @@ def make_env(env_id, env_type, mpi_rank=0, subrank=0, seed=None, reward_scale=1.
|
|
|
|
|
env = gym.make(env_id, **env_kwargs)
|
|
|
|
|
|
|
|
|
|
if flatten_dict_observations and isinstance(env.observation_space, gym.spaces.Dict):
|
|
|
|
|
keys = env.observation_space.spaces.keys()
|
|
|
|
|
env = gym.wrappers.FlattenDictWrapper(env, dict_keys=list(keys))
|
|
|
|
|
env = FlattenObservation(env)
|
|
|
|
|
|
|
|
|
|
env.seed(seed + subrank if seed is not None else None)
|
|
|
|
|
env = Monitor(env,
|
|
|
|
@@ -128,7 +127,7 @@ def make_robotics_env(env_id, seed, rank=0):
|
|
|
|
|
"""
|
|
|
|
|
set_global_seeds(seed)
|
|
|
|
|
env = gym.make(env_id)
|
|
|
|
|
env = FlattenDictWrapper(env, ['observation', 'desired_goal'])
|
|
|
|
|
env = FlattenObservation(FilterObservation(env, ['observation', 'desired_goal']))
|
|
|
|
|
env = Monitor(
|
|
|
|
|
env, logger.get_dir() and os.path.join(logger.get_dir(), str(rank)),
|
|
|
|
|
info_keywords=('is_success',))
|
|
|
|
|