def droplet() -> environment.Environment:
return environment.Environment(shot_condition=environment.ShotCondition(
69198, 0.418),
reward=rewards_used.DROPLETS,
reference_generator=references.droplet(),
max_episode_length=2000)
def snowflake() -> environment.Environment:
return environment.Environment(shot_condition=environment.ShotCondition(
70166, 0.0872),
reward=rewards_used.SNOWFLAKE,
reference_generator=references.snowflake(),
max_episode_length=10000)
def negative_triangularity() -> environment.Environment:
return environment.Environment(
shot_condition=environment.ShotCondition(70166, 0.45),
reward=rewards_used.NEGATIVE_TRIANGULARITY,
reference_generator=references.negative_triangularity(),
max_episode_length=5000)
def iter() -> environment.Environment: # pylint: disable=redefined-builtin
return environment.Environment(shot_condition=environment.ShotCondition(
70392, 0.0872),
reward=rewards_used.ITER,
reference_generator=references.iter(),
max_episode_length=1000)
def elongation() -> environment.Environment:
return environment.Environment(shot_condition=environment.ShotCondition(
70166, 0.45),
reward=rewards_used.ELONGATION,
reference_generator=references.elongation(),
max_episode_length=5000)
def fundamental_capability() -> environment.Environment:
return environment.Environment(
shot_condition=environment.ShotCondition(70166, 0.0872),
reward=rewards_used.FUNDAMENTAL_CAPABILITY,
reference_generator=references.fundamental_capability(),
max_episode_length=10000)