coach v0.8.0

environments/doom_environment_wrapper.py

@@ -0,0 +1,110 @@
+#
+# 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.
+#
+
+
+try:
+    import vizdoom
+except ImportError:
+    from logger import failed_imports
+    failed_imports.append("ViZDoom")
+
+import numpy as np
+from environments.environment_wrapper import EnvironmentWrapper
+from os import path, environ
+from utils import *
+
+
+# enum of the available levels and their path
+class DoomLevel(Enum):
+    BASIC = "basic.cfg"
+    DEFEND = "defend_the_center.cfg"
+    DEATHMATCH = "deathmatch.cfg"
+    MY_WAY_HOME = "my_way_home.cfg"
+    TAKE_COVER = "take_cover.cfg"
+    HEALTH_GATHERING = "health_gathering.cfg"
+    HEALTH_GATHERING_SUPREME = "health_gathering_supreme.cfg"
+    DEFEND_THE_LINE = "defend_the_line.cfg"
+    DEADLY_CORRIDOR = "deadly_corridor.cfg"
+
+
+class DoomEnvironmentWrapper(EnvironmentWrapper):
+    def __init__(self, tuning_parameters):
+        EnvironmentWrapper.__init__(self, tuning_parameters)
+
+        # load the emulator with the required level
+        self.level = DoomLevel().get(self.tp.env.level)
+        self.scenarios_dir = path.join(environ.get('VIZDOOM_ROOT'), 'scenarios')
+        self.game = vizdoom.DoomGame()
+        self.game.load_config(path.join(self.scenarios_dir, self.level))
+        self.game.set_window_visible(self.is_rendered)
+        self.game.add_game_args("+vid_forcesurface 1")
+        if self.is_rendered:
+            self.game.set_screen_resolution(vizdoom.ScreenResolution.RES_320X240)
+        else:
+            # lower resolution since we actually take only 76x60 and we don't need to render
+            self.game.set_screen_resolution(vizdoom.ScreenResolution.RES_160X120)
+        self.game.set_render_hud(False)
+        self.game.set_render_crosshair(False)
+        self.game.set_render_decals(False)
+        self.game.set_render_particles(False)
+        self.game.init()
+
+        self.action_space_abs_range = 0
+        self.actions = {}
+        self.action_space_size = self.game.get_available_buttons_size()
+        for action_idx in range(self.action_space_size):
+            self.actions[action_idx] = [0] * self.action_space_size
+            self.actions[action_idx][action_idx] = 1
+        self.actions_description = [str(action) for action in self.game.get_available_buttons()]
+        self.measurements_size = self.game.get_state().game_variables.shape
+
+        self.width = self.game.get_screen_width()
+        self.height = self.game.get_screen_height()
+        if self.tp.seed is not None:
+            self.game.set_seed(self.tp.seed)
+        self.reset()
+
+    def _update_observation_and_measurements(self):
+        # extract all data from the current state
+        state = self.game.get_state()
+        if state is not None and state.screen_buffer is not None:
+            self.observation = self._preprocess_observation(state.screen_buffer)
+            self.measurements = state.game_variables
+        self.done = self.game.is_episode_finished()
+
+    def step(self, action_idx):
+        self.reward = 0
+        for frame in range(self.tp.env.frame_skip):
+            self.reward += self.game.make_action(self._idx_to_action(action_idx))
+            self._update_observation_and_measurements()
+            if self.done:
+                break
+
+        return {'observation': self.observation,
+                'reward': self.reward,
+                'done': self.done,
+                'action': action_idx,
+                'measurements': self.measurements}
+
+    def _preprocess_observation(self, observation):
+        if observation is None:
+            return None
+        # move the channel to the last axis
+        observation = np.transpose(observation, (1, 2, 0))
+        return observation
+
+    def _restart_environment_episode(self, force_environment_reset=False):
+        self.game.new_episode()