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Remove duplicate code in adaptive param noise. (#976)

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This commit is contained in:
tanzhenyu
2019-08-05 16:01:54 -07:00
committed by pzhokhov
parent c57528573e
commit fce4370ba2
2 changed files with 1 additions and 7 deletions
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5
baselines/ddpg/ddpg_learner.py
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@@ -378,11 +378,6 @@ class DDPG(object):
self.param_noise_stddev: self.param_noise.current_stddev, self.param_noise_stddev: self.param_noise.current_stddev,
}) })
if MPI is not None:
mean_distance = MPI.COMM_WORLD.allreduce(distance, op=MPI.SUM) / MPI.COMM_WORLD.Get_size()
else:
mean_distance = distance
if MPI is not None: if MPI is not None:
mean_distance = MPI.COMM_WORLD.allreduce(distance, op=MPI.SUM) / MPI.COMM_WORLD.Get_size() mean_distance = MPI.COMM_WORLD.allreduce(distance, op=MPI.SUM) / MPI.COMM_WORLD.Get_size()
else: else:

3
baselines/her/rollout.py
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@@ -15,8 +15,7 @@ class RolloutWorker:
"""Rollout worker generates experience by interacting with one or many environments. """Rollout worker generates experience by interacting with one or many environments.
Args: Args:
make_env (function): a factory function that creates a new instance of the environment venv: vectorized gym environments.
when called
policy (object): the policy that is used to act policy (object): the policy that is used to act
dims (dict of ints): the dimensions for observations (o), goals (g), and actions (u) dims (dict of ints): the dimensions for observations (o), goals (g), and actions (u)
logger (object): the logger that is used by the rollout worker logger (object): the logger that is used by the rollout worker