pre-release 0.10.0

rl_coach/exploration_policies/categorical.py

@@ -0,0 +1,48 @@
+#
+# 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 typing import List
+
+import numpy as np
+from rl_coach.spaces import ActionSpace
+
+from rl_coach.core_types import RunPhase, ActionType
+from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+
+
+class CategoricalParameters(ExplorationParameters):
+    @property
+    def path(self):
+        return 'rl_coach.exploration_policies.categorical:Categorical'
+
+
+class Categorical(ExplorationPolicy):
+    def __init__(self, action_space: ActionSpace):
+        """
+        :param action_space: the action space used by the environment
+        """
+        super().__init__(action_space)
+
+    def get_action(self, action_values: List[ActionType]) -> ActionType:
+        if self.phase == RunPhase.TRAIN:
+            # choose actions according to the probabilities
+            return np.random.choice(self.action_space.actions, p=action_values)
+        else:
+            # take the action with the highest probability
+            return np.argmax(action_values)
+
+    def get_control_param(self):
+        return 0