Python register_carla_model Exemples

Exemple #1

Fichier : dqn_lane_keep.py Projet : lgh0504/ray-pandas-on-ray

env_name = "carla_env"
env_config = ENV_CONFIG.copy()
env_config.update({
    "verbose": False,
    "x_res": 80,
    "y_res": 80,
    "use_depth_camera": False,
    "discrete_actions": True,
    "server_map": "/Game/Maps/Town02",
    "reward_function": "lane_keep",
    "enable_planner": False,
    "scenarios": [LANE_KEEP],
})

register_env(env_name, lambda env_config: CarlaEnv(env_config))
register_carla_model()

ray.init()
run_experiments({
    "carla-dqn": {
        "run": "DQN",
        "env": "carla_env",
        "config": {
            "env_config": env_config,
            "model": {
                "custom_model": "carla",
                "custom_options": {
                    "image_shape": [80, 80, 6],
                },
                "conv_filters": [
                    [16, [8, 8], 4],

Exemple #2

Fichier : a3c_lane_keep.py Projet : adgirish/ray

env_name = "carla_env"
env_config = ENV_CONFIG.copy()
env_config.update({
    "verbose": False,
    "x_res": 80,
    "y_res": 80,
    "use_depth_camera": False,
    "discrete_actions": False,
    "server_map": "/Game/Maps/Town02",
    "reward_function": "lane_keep",
    "enable_planner": False,
    "scenarios": [LANE_KEEP],
})

register_env(env_name, lambda env_config: CarlaEnv(env_config))
register_carla_model()

ray.init()
run_experiments({
    "carla-a3c": {
        "run": "A3C",
        "env": "carla_env",
        "resources": {"cpu": 4, "gpu": 1},
        "config": {
            "env_config": env_config,
            "model": {
                "custom_model": "carla",
                "custom_options": {
                    "image_shape": [80, 80, 6],
                },
                "conv_filters": [