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https://github.com/illiumst/marl-factory-grid.git
synced 2025-06-19 10:52:54 +02:00
updated simple factory
This commit is contained in:
environments/factory
@ -12,6 +12,7 @@ class BaseFactory(object):
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self.level = h.one_hot_level(
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self.level = h.one_hot_level(
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h.parse_level(Path(__file__).parent / self.LEVELS_DIR / f'{level}.txt')
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h.parse_level(Path(__file__).parent / self.LEVELS_DIR / f'{level}.txt')
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)#[np.newaxis, ...]
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)#[np.newaxis, ...]
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self.slice_strings = {0: 'level', **{i: f'agent#{i}' for i in range(1, self.n_agents+1)}}
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self.reset()
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self.reset()
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def reset(self):
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def reset(self):
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@ -23,7 +24,6 @@ class BaseFactory(object):
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for i in range(self.n_agents):
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for i in range(self.n_agents):
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r, c = free_cells[i]
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r, c = free_cells[i]
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self.agents[i, r, c] = 1
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self.agents[i, r, c] = 1
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free_cells = free_cells[self.n_agents:]
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self.state = np.concatenate((self.level[np.newaxis, ...], self.agents), 0)
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self.state = np.concatenate((self.level[np.newaxis, ...], self.agents), 0)
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return self.state, 0, self.done, {}
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return self.state, 0, self.done, {}
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@ -34,18 +34,21 @@ class BaseFactory(object):
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self.steps += 1
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self.steps += 1
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r = 0
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r = 0
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# level, agent 1,..., agent n,
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# level, agent 1,..., agent n,
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collision_vecs = np.zeros((self.n_agents, self.state.shape[0])) # n_agents x n_slices
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for i, a in enumerate(actions):
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for i, a in enumerate(actions):
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old_pos, new_pos, valid = h.check_agent_move(state=self.state, dim=i+1, action=a)
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old_pos, new_pos, valid = h.check_agent_move(state=self.state, dim=i+1, action=a)
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if valid:
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if valid:
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self.make_move(i, old_pos, new_pos)
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self.make_move(i, old_pos, new_pos)
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collision_vecs = []
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else: # trying to leave the level
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collision_vecs[i, 0] = 1
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for i in range(self.n_agents): # might as well save the positions (redundant)
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for i in range(self.n_agents): # might as well save the positions (redundant)
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agent_slice = self.state[i+1]
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agent_slice = self.state[i+1]
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x, y = np.argwhere(agent_slice == 1)[0]
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x, y = np.argwhere(agent_slice == 1)[0]
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collisions_vec = self.state[:, x, y].copy() # otherwise you overwrite the grid/state
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collisions_vec = self.state[:, x, y].copy() # otherwise you overwrite the grid/state
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collisions_vec[i+1] = 0 # no self-collisions
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collisions_vec[i+1] = 0 # no self-collisions
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collision_vecs.append(collisions_vec)
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#collision_vecs.append(collisions_vec)
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reward, info = self.step_core(collisions_vec, actions, r)
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collision_vecs[i] += collisions_vec
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reward, info = self.step_core(np.array(collision_vecs), actions, r)
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r += reward
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r += reward
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if self.steps >= self.max_steps:
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if self.steps >= self.max_steps:
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self.done = True
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self.done = True
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@ -56,5 +59,11 @@ class BaseFactory(object):
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self.state[agent_i+1, x, y] = 0
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self.state[agent_i+1, x, y] = 0
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self.state[agent_i+1, x_new, y_new] = 1
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self.state[agent_i+1, x_new, y_new] = 1
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def free_cells(self):
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free_cells = self.state.sum(0)
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free_cells = np.argwhere(free_cells == 0)
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np.random.shuffle(free_cells)
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return free_cells
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def step_core(self, collisions_vec, actions, r):
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def step_core(self, collisions_vec, actions, r):
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return 0, {}
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return 0, {}
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@ -6,25 +6,28 @@ class SimpleFactory(BaseFactory):
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def __init__(self, *args, max_dirt=5, **kwargs):
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def __init__(self, *args, max_dirt=5, **kwargs):
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self.max_dirt = max_dirt
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self.max_dirt = max_dirt
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super(SimpleFactory, self).__init__(*args, **kwargs)
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super(SimpleFactory, self).__init__(*args, **kwargs)
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self.slice_strings.update({self.state.shape[0]-1: 'dirt'})
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def reset(self):
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def reset(self):
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super().reset()
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super().reset()
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dirt_slice = np.zeros((1, *self.state.shape[1:]))
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dirt_slice = np.zeros((1, *self.state.shape[1:]))
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self.state = np.concatenate((self.state, dirt_slice)) # dirt is now the last slice
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self.state = np.concatenate((self.state, dirt_slice)) # dirt is now the last slice
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free_for_dirt = self.free_for_dirt()
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free_for_dirt = self.free_cells()
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for x, y in free_for_dirt[:self.max_dirt]:
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for x, y in free_for_dirt[:self.max_dirt]:
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self.state[-1, x, y] = 1
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self.state[-1, x, y] = 1
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print(self.state)
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def free_for_dirt(self):
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def step_core(self, collisions_vecs, actions, r):
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free_for_dirt = self.state.sum(0)
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for agent_i, cols in enumerate(collisions_vecs):
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free_for_dirt = np.argwhere(free_for_dirt == 0)
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cols = np.argwhere(cols != 0).flatten()
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np.random.shuffle(free_for_dirt)
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print(f'Agent #{agent_i} has collisions with '
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return free_for_dirt
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f'{[self.slice_strings[entity] for entity in cols]}')
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return 0, {}
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if __name__ == '__main__':
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if __name__ == '__main__':
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import random
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factory = SimpleFactory(n_agents=1, max_dirt=8)
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factory = SimpleFactory(n_agents=1, max_dirt=8)
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#print(factory.state)
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random_actions = [random.randint(0,8) for _ in range(200)]
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state, r, done, _ = factory.step(0)
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for action in random_actions:
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#print(state)
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state, r, done, _ = factory.step(action)
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