coach v0.8.0

exploration_policies/exploration_policy.py

@@ -0,0 +1,58 @@
+#
+# 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 utils import *
+from configurations import *
+
+
+class ExplorationPolicy:
+    def __init__(self, tuning_parameters):
+        """
+        :param tuning_parameters: A Preset class instance with all the running paramaters
+        :type tuning_parameters: Preset
+        """
+        self.phase = RunPhase.HEATUP
+        self.action_space_size = tuning_parameters.env.action_space_size
+        self.action_abs_range = tuning_parameters.env_instance.action_space_abs_range
+        self.discrete_controls = tuning_parameters.env_instance.discrete_controls
+
+    def reset(self):
+        """
+        Used for resetting the exploration policy parameters when needed
+        :return: None
+        """
+        pass
+
+    def get_action(self, action_values):
+        """
+        Given a list of values corresponding to each action, 
+        choose one actions according to the exploration policy
+        :param action_values: A list of action values
+        :return: The chosen action
+        """
+        pass
+
+    def change_phase(self, phase):
+        """
+        Change between running phases of the algorithm
+        :param phase: Either Heatup or Train
+        :return: none
+        """
+        self.phase = phase
+
+    def get_control_param(self):
+        return 0