small bugfixes and getting dirty
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b16f316f08
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14741aa5a5
@ -110,7 +110,7 @@ class BaseFactory:
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return old_pos, valid
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def agent_i_position(self, agent_i):
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return np.argwhere(self.state[h.AGENT_START_IDX+agent_i] == h.IS_OCCUPIED_CELL)
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return tuple(np.argwhere(self.state[h.AGENT_START_IDX+agent_i] == h.IS_OCCUPIED_CELL).flatten())
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@property
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def free_cells(self) -> np.ndarray:
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@ -13,17 +13,17 @@ class GettingDirty(BaseFactory):
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@property
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def _clean_up_action(self):
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return self.movement_actions + 1
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return self.movement_actions + 1 - 1
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def __init__(self, *args, dirt_properties:DirtProperties, **kwargs):
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super(GettingDirty, self).__init__(*args, **kwargs)
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self._dirt_properties = dirt_properties
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super(GettingDirty, self).__init__(*args, **kwargs)
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self.slice_strings.update({self.state.shape[0]-1: 'dirt'})
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def spawn_dirt(self) -> None:
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free_for_dirt = self.free_cells
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# randomly distribute dirt across the grid
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n_dirt_tiles = self._dirt_properties.max_spawn_ratio * len(free_for_dirt)
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n_dirt_tiles = int(random.uniform(0, self._dirt_properties.max_spawn_ratio) * len(free_for_dirt))
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for x, y in free_for_dirt[:n_dirt_tiles]:
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self.state[DIRT_INDEX, x, y] += self._dirt_properties.gain_amount
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@ -38,11 +38,16 @@ class GettingDirty(BaseFactory):
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self.state[DIRT_INDEX][pos] = max(new_dirt_amount, h.IS_FREE_CELL)
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return pos, cleanup_was_sucessfull
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def additional_actions(self, agent_i, action) -> ((int, int), bool):
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if not action == self._is_moving_action(action):
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if action != self._is_moving_action(action):
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if action == self._clean_up_action:
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self.clean_up()
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agent_i_pos = self.agent_i_position(agent_i)
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_, valid = self.clean_up(agent_i_pos)
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if valid:
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print(f'Agent {agent_i} did just clean up some dirt at {agent_i_pos}.')
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else:
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print(f'Agent {agent_i} just tried to clean up some dirt at {agent_i_pos}, but was unsucsessfull.')
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return agent_i_pos, valid
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else:
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raise RuntimeError('This should not happen!!!')
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@ -53,17 +58,18 @@ class GettingDirty(BaseFactory):
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self.state = np.concatenate((self.state, dirt_slice)) # dirt is now the last slice
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self.spawn_dirt()
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def calculate_reward(self, collisions_vec: np.ndarray, actions: Iterable[int], r: int) -> (int, dict):
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def calculate_reward(self, collisions_vecs: np.ndarray, actions: Iterable[int], r: int) -> (int, dict):
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for agent_i, cols in enumerate(collisions_vecs):
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cols = np.argwhere(cols != 0).flatten()
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print(f't = {self.steps}\tAgent {agent_i} has collisions with '
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f'{[self.slice_strings[entity] for entity in cols]}')
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f'{[self.slice_strings[entity] for entity in cols if entity != self.state.shape[0]]}')
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return 0, {}
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if __name__ == '__main__':
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import random
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factory = GettingDirty(n_agents=1, max_dirt=8)
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dirt_properties = DirtProperties()
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factory = GettingDirty(n_agents=1, dirt_properties=dirt_properties)
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random_actions = [random.randint(0, 8) for _ in range(200)]
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for action in random_actions:
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state, r, done, _ = factory.step(action)
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