Python ENV_CONFIG Examples

Example #1

File: dqn_lane_keep.py Project: lgh0504/ray-pandas-on-ray

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import ray
from ray.tune import register_env, run_experiments

from env import CarlaEnv, ENV_CONFIG
from models import register_carla_model
from scenarios import LANE_KEEP

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": {

Example #2

File: a3c_lane_keep.py Project: adgirish/ray

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import ray
from ray.tune import register_env, run_experiments

from env import CarlaEnv, ENV_CONFIG
from models import register_carla_model
from scenarios import LANE_KEEP

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": {