sinergym.utils.wrappers.DiscreteIncrementalWrapper
- class sinergym.utils.wrappers.DiscreteIncrementalWrapper(env: Env, initial_values: List[float], delta_temp: float = 2.0, step_temp: float = 0.5)
A wrapper for an incremental setpoint discrete action space environment. WARNING: A environment with only temperature setpoints control must be used with this wrapper.
- __init__(env: Env, initial_values: List[float], delta_temp: float = 2.0, step_temp: float = 0.5)
- Parameters:
env – The original Sinergym env.
action_names – Name of the action variables with the setpoint control you want to do incremental.
initial_values – Initial values of the setpoints.
delta_temp – Maximum temperature variation in the setpoints in one step.
step_temp – Minimum temperature variation in the setpoints in one step.
Methods
__init__
(env, initial_values[, delta_temp, ...])action
(action)Takes the discrete action and transforms it to setpoints tuple.
action_mapping
(action)class_name
()Returns the class name of the wrapper.
close
()Closes the wrapper and
env
.get_wrapper_attr
(name)Gets an attribute from the wrapper and lower environments if name doesn't exist in this object.
render
()Uses the
render()
of theenv
that can be overwritten to change the returned data.reset
(*[, seed, options])Uses the
reset()
of theenv
that can be overwritten to change the returned data.step
(action)Runs the
env
env.step()
using the modifiedaction
fromself.action()
.wrapper_spec
(**kwargs)Generates a WrapperSpec for the wrappers.
Attributes
action_space
Return the
Env
action_space
unless overwritten then the wrapperaction_space
is used.metadata
Returns the
Env
metadata
.np_random
Returns the
Env
np_random
attribute.observation_space
Return the
Env
observation_space
unless overwritten then the wrapperobservation_space
is used.render_mode
Returns the
Env
render_mode
.reward_range
Return the
Env
reward_range
unless overwritten then the wrapperreward_range
is used.spec
Returns the
Env
spec
attribute with the WrapperSpec if the wrapper inherits from EzPickle.unwrapped
Returns the base environment of the wrapper.
- action(action)
Takes the discrete action and transforms it to setpoints tuple.
- action_mapping(action: int) List[float]
- property is_discrete: bool
- logger = <Logger WRAPPER DiscreteIncrementalWrapper (INFO)>