Hi
I have installed Commonroad all using >pip install commonroad-all==0.0.2 and commonroad_rl using pip install commonroad-rl==2023.1.3 . My python version is 3.7.13 and gym version is 0.21.0. But I get the following error. I looked at a similar issue but looks like all things are upto date as per that issue , link to the issue >> Minimal example, commonroad_rl/gym_commonroad/configs.yaml not found
I am trying the basic example provided to run the gym environment using the following code.
import gym
import commonroad_rl.gym_commonroad
# kwargs overwrites configs defined in commonroad_rl/gym_commonroad/configs.yaml
env = gym.make("commonroad-v1",
action_configs={"action_type": "continuous"},
goal_configs={"observe_distance_goal_long": True,
"observe_distance_goal_lat": True},
surrounding_configs={"observe_lidar_circle_surrounding": True,
"lidar_circle_num_beams": 20},
reward_type="sparse_reward",
reward_configs_sparse={"reward_goal_reached": 50.,
"reward_collision": -100.})
observation = env.reset()
for _ in range(500):
# env.render() # rendered images with be saved under ./img
action = env.action_space.sample() # your agent here (this takes random actions)
observation, reward, done, info = env.step(action)
if done:
observation = env.reset()
env.close()
Error I get
`---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_26200\2157516103.py in
8 surrounding_configs={“observe_lane_circ_surrounding”: True, “lane_circ_sensor_range_radius”: 100.},
9 reward_type=“sparse_reward”,
—> 10 reward_configs_sparse={“reward_goal_reached”: 50., “reward_collision”: -100})
11
12 observation = env.reset()
c:\Users\Anaconda3\envs\commonroad_2\lib\site-packages\gym\envs\registration.py in make(id, **kwargs)
233
234 def make(id, **kwargs):
→ 235 return registry.make(id, **kwargs)
236
237
c:\Users\Anaconda3\envs\commonroad_2\lib\site-packages\gym\envs\registration.py in make(self, path, **kwargs)
127 logger.info(“Making new env: %s”, path)
128 spec = self.spec(path)
→ 129 env = spec.make(**kwargs)
130 return env
131
c:\Users\Anaconda3\envs\commonroad_2\lib\site-packages\gym\envs\registration.py in make(self, kwargs)
88 else:
89 cls = load(self.entry_point)
—> 90 env = cls(_kwargs)
91
92 # Make the environment aware of which spec it came from.
c:\Users\Anaconda3\envs\commonroad_2\lib\site-packages\commonroad_rl\gym_commonroad\commonroad_env.py in init(self, meta_scenario_path, train_reset_config_path, test_reset_config_path, visualization_path, logging_path, test_env, play, config_file, logging_mode, **kwargs)
96 if kwargs is not None:
97 for k, v in kwargs.items():
—> 98 assert k in self.configs, f"Configuration item not supported: {k}"
99 # TODO: update only one term in configs
100 if isinstance(v, dict):
AssertionError: Configuration item not supported: reward_configs_sparse
``
