sinergym.utils.wrappers.IncrementalWrapper

class sinergym.utils.wrappers.IncrementalWrapper(env: Env, incremental_variables_definition: Dict[str, Tuple[float, float]], initial_values: List[float])

A wrapper for an incremental values of desired action variables

__init__(env: Env, incremental_variables_definition: Dict[str, Tuple[float, float]], initial_values: List[float])

Parameters:

env (gym.Env) – Original Sinergym environment.
incremental_variables_definition (Dict[str, Tuple[float, float]]) – Dictionary defining incremental variables. Key: variable name, Value: Tuple with delta and step values. Delta: maximum range, Step: intermediate value jumps.
initial_values (List[float]) – Initial values for incremental variables. Length of this list and dictionary must match.

Methods

`__init__`(env, ...)
`action`(action)	Takes the continuous action and apply increment/decrement before to send to the next environment layer.
`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.
`has_wrapper_attr`(name)	Checks if the given attribute is within the wrapper or its environment.
`render`()	Uses the `render()` of the `env` that can be overwritten to change the returned data.
`reset`(*[, seed, options])	Uses the `reset()` of the `env` that can be overwritten to change the returned data.
`set_wrapper_attr`(name, value)	Sets an attribute on this wrapper or lower environment if name is already defined.
`step`(action)	Runs the `env` `env.step()` using the modified `action` from `self.action()`.
`wrapper_spec`(**kwargs)	Generates a WrapperSpec for the wrappers.

Attributes

`action_space`	Return the `Env` `action_space` unless overwritten then the wrapper `action_space` is used.
`logger`
`metadata`	Returns the `Env` `metadata`.
`np_random`	Returns the `Env` `np_random` attribute.
`np_random_seed`	Returns the base environment's `np_random_seed`.
`observation_space`	Return the `Env` `observation_space` unless overwritten then the wrapper `observation_space` is used.
`render_mode`	Returns the `Env` `render_mode`.
`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 continuous action and apply increment/decrement before to send to the next environment layer.

logger = <Logger WRAPPER IncrementalWrapper (INFO)>