def test_multi_env_continous_state_discrete_actions():
env = make_parallelized_gym_env('CartPole-v0', 0, 2, action_processor=SimpleDiscreteProcessor())
state = env.reset()
assert tuple(state.size()) == (2, 4)
assert type(state) is Variable
action, log_probs = get_multinomial_action(state, env.action_space.n)
state, _, _, _ = env.step(action)
assert type(state) is Variable
assert tuple(state.size()) == (2, 4)
def test_multi_env_continous_state_continous_actions():
env = make_parallelized_gym_env('MountainCarContinuous-v0', 0, 2)
state = env.reset()
action, log_probs = get_gaussian_action(state, env.action_space.shape[0])
assert isinstance(state, torch.Tensor)
assert tuple(state.size()) == (2, 2)
state, _, _, _ = env.step(action)
assert isinstance(state, torch.Tensor)
assert tuple(state.size()) == (2, 2)
def test_multi_env_one_hot_state_one_hot_actions():
env = make_parallelized_gym_env('FrozenLake-v0', 0, 2)
state = env.reset()
assert state.size() == (2, env.observation_space.n)
assert isinstance(state, torch.Tensor)
actions, log_probs = get_multinomial_action(state, env.action_space.n)
assert actions.size() == (2, )
state, _, _, _ = env.step(actions)
assert isinstance(state, torch.Tensor)
assert state.size() == (2, env.observation_space.n)
def test_multi_env_continous_states_multiple_continous_actions():
#TODO: change this to use something other than roboschool?
try:
import roboschool
env = make_parallelized_gym_env('RoboschoolHumanoid-v1', 0, 2)
state = env.reset()
action, log_probs = get_gaussian_action(state, env.action_space.shape[0])
assert type(state) is Variable
assert tuple(state.size()) == (2, env.observation_space.shape[0])
state, _, _, _ = env.step(action)
assert type(state) is Variable
assert tuple(state.size()) == (2, env.observation_space.shape[0])
except ImportError:
logging.warning('No roboschool was installed therefore `test_multi_env_continous_states_multiple_continous_actions` could not be run')
pass