560b8b450da344aff0b9d6ff9751c1230c1b07ec,flow/envs/green_wave_env.py,PO_TrafficLightGridEnv,__init__,#PO_TrafficLightGridEnv#Any#Any#Any#,458

Before Change

        self.num_observed = env_params.additional_params.get("num_observed", 2)

        // used while computing the reward
        self.env_params.additional_params["target_velocity"] = \
            max(self.scenario.speed_limit(edge)
                for edge in self.scenario.get_edge_list())

        // used during visualization
        self.observed_ids = []

After Change

    def __init__(self, env_params, sumo_params, scenario):
        super().__init__(env_params, sumo_params, scenario)

        for p in ADDITIONAL_PO_ENV_PARAMS.keys():
            if p not in env_params.additional_params:
                raise KeyError(
                    "Environment parameter "{}" not supplied".format(p))

        // number of vehicles nearest each intersection that is observed in the
        // state space; defaults to 2
        self.num_observed = env_params.additional_params.get("num_observed", 2)

        // used during visualization
        self.observed_ids = []

Instances