def transform_state(timesteps):
state = state_modifier.modified_state_space(timesteps[0])[0]
# print("state : ", state)
# state= (state[0].flatten())
# state=state.reshape(1, state.shape[0])
# print(state.shape)
return state
def step(self, obs):
super().step(obs)
features, _, _ = state_modifier.modified_state_space(obs)
selected = features[0]
friendly_unit_density = features[3]
enemy_unit_density = features[4]
enemy_hit_points = features[2]
if np.all(friendly_unit_density == 0):
return self.actuator.compute_action(Action.NO_OP, selected,
friendly_unit_density,
enemy_unit_density,
enemy_hit_points)
if self.state == 0 or np.all(selected == 0):
self.state = 1
return self.actuator.compute_action(Action.SELECT, selected,
friendly_unit_density,
enemy_unit_density,
enemy_hit_points)
else:
self.state = 0
return self.actuator.compute_action(Action.ATTACK_CLOSEST,
selected,
friendly_unit_density,
enemy_unit_density,
enemy_hit_points)
def step(self, obs):
reduced_obs = state_modifier.modified_state_space(obs)
sarsd = env_handler.step(reduced_obs, self.policy)
if (game_finished(sarsd)):
self.train()
def transform_state(timesteps):
state = state_modifier.modified_state_space(timesteps[0])[0]
print("feature screen: ", timesteps[0].observation.feature_screen.shape)
print("feature mini map: ", timesteps[0].observation.feature_minimap.shape)
print("non-spatial features: ", timesteps[0].observation.player)
# print("state : ", state)
# state= (state[0].flatten())
# state=state.reshape(1, state.shape[0])
# print(state.shape)
return state
def step(self, obs):
simp_obs = state_modifier.modified_state_space(obs)
self.iteration += 1
super(terran_agent, self).step(obs) # crashes with simple obs
if self.unit_type_is_selected(obs, units.Terran.Marine) and self.iteration % 20 == 0:
return self.handle_action(obs)
else:
return self.select_units_by_type(obs, units.Terran.Marine)
return actions.FUNCTIONS.no_op()
def step(self, obs):
super().step(obs)
features, _ = state_modifier.modified_state_space(obs)
selected = features[0]
friendly_unit_density = features[2]
enemy_unit_density = features[4]
if np.all(friendly_unit_density == 0):
return self.actuator.compute_action(Action.NO_OP, selected,
friendly_unit_density,
enemy_unit_density)
if not self.actuator.units_selected or np.all(selected == 0):
return self.actuator.compute_action(Action.SELECT, selected,
friendly_unit_density,
enemy_unit_density)
else:
return self.actuator.compute_action(Action.ATTACK, selected,
friendly_unit_density,
enemy_unit_density)
def __init__(self):
super(terran_agent, self).__init__()
self.attack_coordinates = None
self.iteration = 0
self.actuator = Actuator()
self.PPO = PPOAgent()
def step(self, obs):
<<<<<<< HEAD
=======
simp_obs = state_modifier.modified_state_space(obs)
self.iteration += 1
>>>>>>> 50eda19452d03e2520e35a9c714c6e0efadc1a30
super(terran_agent, self).step(obs)
self.iteration += 1
###################################################
simp_obs = state_modifier.modified_state_space(obs)
selected = simp_obs[0]
friendly_unit_density = simp_obs[2]
enemy_unit_density = simp_obs[4]
