pre-release 0.10.0

rl_coach/graph_managers/basic_rl_graph_manager.py

@@ -0,0 +1,60 @@
+#
+# 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 Tuple, List
+
+from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, PresetValidationParameters
+from rl_coach.environments.environment import EnvironmentParameters, Environment
+from rl_coach.level_manager import LevelManager
+
+from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
+from rl_coach.utils import short_dynamic_import
+
+
+class BasicRLGraphManager(GraphManager):
+    """
+    A basic RL graph manager creates the common scheme of RL where there is a single agent which interacts with a
+    single environment.
+    """
+    def __init__(self, agent_params: AgentParameters, env_params: EnvironmentParameters,
+                 schedule_params: ScheduleParameters,
+                 vis_params: VisualizationParameters=VisualizationParameters(),
+                 preset_validation_params: PresetValidationParameters = PresetValidationParameters()):
+        super().__init__('simple_rl_graph', schedule_params, vis_params)
+        self.agent_params = agent_params
+        self.env_params = env_params
+        self.preset_validation_params = preset_validation_params
+
+        self.agent_params.visualization = vis_params
+        if self.agent_params.input_filter is None:
+            self.agent_params.input_filter = env_params.default_input_filter()
+        if self.agent_params.output_filter is None:
+            self.agent_params.output_filter = env_params.default_output_filter()
+
+    def _create_graph(self, task_parameters: TaskParameters) -> Tuple[List[LevelManager], List[Environment]]:
+        # environment loading
+        self.env_params.seed = task_parameters.seed
+        env = short_dynamic_import(self.env_params.path)(**self.env_params.__dict__,
+                                                         visualization_parameters=self.visualization_parameters)
+
+        # agent loading
+        self.agent_params.task_parameters = task_parameters  # TODO: this should probably be passed in a different way
+        self.agent_params.name = "agent"
+        agent = short_dynamic_import(self.agent_params.path)(self.agent_params)
+
+        # set level manager
+        level_manager = LevelManager(agents=agent, environment=env, name="main_level")
+
+        return [level_manager], [env]