human
1.4 apply_rl_actions
The function apply_rl_actions is responsible for transforming commands specified by the RL agent into actual actions performed within the simulator. The vehicle kernel within the environment class contains several helper methods that may be of used to facilitate this process. These functions include:
* apply_acceleration (list of str, list of float) -> None: converts an action, or a list of actions, into accelerations to the specified vehicles (in simulation)
* apply_lane_change (list of str, list of {-1, 0, 1}) -> None: converts an action, or a list of actions, into lane change directions for the specified vehicles (in simulation)
* choose_route (list of str, list of list of str) -> None: converts an action, or a list of actions, into rerouting commands for the specified vehicles (in simulation)
For our example we consider a situation where the RL agent can only specify accelerations for the RL vehicles.
accordingly, the actuation method for the RL agent is defined as follows:"
Please write code following the instructions in jupyter notebook style.
 Can you provide a code to 1?
assistant
#Here is code to 1.

class myEnv(myEnv):  # update my environment class

    def _apply_rl_actions(self, rl_actions):
        # the names of all autonomous (RL) vehicles in the network
        rl_ids = self.k.vehicle.get_rl_ids()

        # use the base environment method to convert actions into accelerations for the rl vehicles
        self.k.vehicle.apply_acceleration(rl_ids, rl_actions)