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coach v0.8.0

This commit is contained in:
Gal Leibovich
2017-10-19 13:10:15 +03:00
parent 7f77813a39
commit 1d4c3455e7
123 changed files with 10996 additions and 203 deletions

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#
# 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.
#
import numpy as np
from exploration_policies.exploration_policy import *
class AdditiveNoise(ExplorationPolicy):
def __init__(self, tuning_parameters):
"""
:param tuning_parameters: A Preset class instance with all the running paramaters
:type tuning_parameters: Preset
"""
ExplorationPolicy.__init__(self, tuning_parameters)
self.variance = tuning_parameters.exploration.initial_noise_variance_percentage
self.final_variance = tuning_parameters.exploration.final_noise_variance_percentage
self.decay_steps = tuning_parameters.exploration.noise_variance_decay_steps
self.variance_decay_delta = (self.variance - self.final_variance) / float(self.decay_steps)
def decay_exploration(self):
if self.variance > self.final_variance:
self.variance -= self.variance_decay_delta
elif self.variance < self.final_variance:
self.variance = self.final_variance
def get_action(self, action_values):
if self.phase == RunPhase.TRAIN:
self.decay_exploration()
action = np.random.normal(action_values, 2 * self.variance * self.action_abs_range)
return action #np.clip(action, -self.action_abs_range, self.action_abs_range).squeeze()
def get_control_param(self):
return self.variance