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coach/exploration_policies/__init__.py
Roman Dobosz 1b095aeeca Cleanup imports.
Till now, most of the modules were importing all of the module objects
(variables, classes, functions, other imports) into module namespace,
which potentially could (and was) cause of unintentional use of class or
methods, which was indirect imported.

With this patch, all the star imports were substituted with top-level
module, which provides desired class or function.

Besides, all imports where sorted (where possible) in a way pep8[1]
suggests - first are imports from standard library, than goes third
party imports (like numpy, tensorflow etc) and finally coach modules.
All of those sections are separated by one empty line.

[1] https://www.python.org/dev/peps/pep-0008/#imports
2018-04-13 09:58:40 +02:00

42 lines
1.6 KiB
Python

#
# Copyright (c) 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from exploration_policies.additive_noise import AdditiveNoise
from exploration_policies.approximated_thompson_sampling_using_dropout import ApproximatedThompsonSamplingUsingDropout
from exploration_policies.bayesian import Bayesian
from exploration_policies.boltzmann import Boltzmann
from exploration_policies.bootstrapped import Bootstrapped
from exploration_policies.categorical import Categorical
from exploration_policies.continuous_entropy import ContinuousEntropy
from exploration_policies.e_greedy import EGreedy
from exploration_policies.exploration_policy import ExplorationPolicy
from exploration_policies.greedy import Greedy
from exploration_policies.ou_process import OUProcess
from exploration_policies.thompson_sampling import ThompsonSampling
__all__ = [AdditiveNoise,
ApproximatedThompsonSamplingUsingDropout,
Bayesian,
Boltzmann,
Bootstrapped,
Categorical,
ContinuousEntropy,
EGreedy,
ExplorationPolicy,
Greedy,
OUProcess,
ThompsonSampling]