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2 agents running

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steffen-illium 2021-05-18 17:13:56 +02:00
parent 05c54ad8d8
commit c1f2ddf3cd
2 changed files with 8 additions and 5 deletions
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4
environments/factory/base_factory.py
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@ -1,4 +1,4 @@
from typing import List, Union from typing import List, Union, Iterable
import gym import gym
import numpy as np import numpy as np
@ -90,7 +90,7 @@ class BaseFactory(gym.Env):
def step(self, actions): def step(self, actions):
actions = [actions] if isinstance(actions, int) else actions actions = [actions] if isinstance(actions, int) else actions
assert isinstance(actions, list), f'"actions" has to be in [{int, list}]' assert isinstance(actions, Iterable), f'"actions" has to be in [{int, list}]'
self.steps += 1 self.steps += 1
# Move this in a seperate function? # Move this in a seperate function?

7
environments/factory/simple_factory_getting_dirty.py
View File

@ -106,7 +106,10 @@ class GettingDirty(BaseFactory):
current_dirt_amount = self.state[DIRT_INDEX].sum() current_dirt_amount = self.state[DIRT_INDEX].sum()
dirty_tiles = len(np.nonzero(self.state[DIRT_INDEX])) dirty_tiles = len(np.nonzero(self.state[DIRT_INDEX]))
try:
this_step_reward = -(dirty_tiles / current_dirt_amount) this_step_reward = -(dirty_tiles / current_dirt_amount)
except ZeroDivisionError:
this_step_reward = 0
for agent_state in agent_states: for agent_state in agent_states:
collisions = agent_state.collisions collisions = agent_state.collisions
@ -127,10 +130,10 @@ if __name__ == '__main__':
render = True render = True
dirt_props = DirtProperties() dirt_props = DirtProperties()
factory = GettingDirty(n_agents=1, dirt_properties=dirt_props) factory = GettingDirty(n_agents=2, dirt_properties=dirt_props)
monitor_list = list() monitor_list = list()
for epoch in range(100): for epoch in range(100):
random_actions = [random.randint(0, 8) for _ in range(200)] random_actions = [(random.randint(0, 8), random.randint(0, 8)) for _ in range(200)]
env_state, reward, done_bool, _ = factory.reset() env_state, reward, done_bool, _ = factory.reset()
for agent_i_action in random_actions: for agent_i_action in random_actions:
env_state, reward, done_bool, info_obj = factory.step(agent_i_action) env_state, reward, done_bool, info_obj = factory.step(agent_i_action)