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The environment generator utility for the training (train.py), evaluation (evaluate.py), and visualizer (visualize.py) does not import minigrid, leading to an error.
Traceback:
python3 -m scripts.train --algo ppo --env MiniGrid-DoorKey-8x8-v0 --model DoorKey --save-interval 10 --frames 80000
/home/kobot/rl_gym/rl-starter-files/scripts/train.py --algo ppo --env MiniGrid-DoorKey-8x8-v0 --model DoorKey --save-interval 10 --frames 80000
Namespace(algo='ppo', env='MiniGrid-DoorKey-8x8-v0', model='DoorKey', seed=1, log_interval=1, save_interval=10, procs=16, frames=80000, epochs=4, batch_size=256, frames_per_proc=None, discount=0.99, lr=0.001, gae_lambda=0.95, entropy_coef=0.01, value_loss_coef=0.5, max_grad_norm=0.5, optim_eps=1e-08, optim_alpha=0.99, clip_eps=0.2, recurrence=1, text=False, mem=False)
Device: cuda
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/kobot/rl_gym/rl-starter-files/scripts/train.py", line 101, in <module>
envs.append(utils.make_env(args.env, args.seed + 10000 * i))
File "/home/kobot/rl_gym/rl-starter-files/utils/env.py", line 5, in make_env
env = gym.make(env_key, render_mode=render_mode)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 687, in make
env_spec = _find_spec(id)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 531, in _find_spec
_check_version_exists(ns, name, version)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 397, in _check_version_exists
_check_name_exists(ns, name)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 374, in _check_name_exists
raise error.NameNotFound(
gymnasium.error.NameNotFound: Environment `MiniGrid-DoorKey-8x8` doesn't exist.
Isolated example:
>>> import gymnasium as gym
>>> def make_env(env_key, seed=None, render_mode=None):
... env = gym.make(env_key, render_mode=render_mode)
... env.reset(seed=seed)
... return env
...
>>> env = gym.make("MiniGrid-Empty-8x8-v0",render_mode=None)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 687, in make
env_spec = _find_spec(id)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 531, in _find_spec
_check_version_exists(ns, name, version)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 397, in _check_version_exists
_check_name_exists(ns, name)
File "/home/kobot/.local/lib/python3.10/site-packages/gymnasium/envs/registration.py", line 374, in _check_name_exists
raise error.NameNotFound(
gymnasium.error.NameNotFound: Environment `MiniGrid-Empty-8x8` doesn't exist.
>>> "MiniGrid-Empty-8x8-v0" in gym.envs.registry.keys()
False
>>> import minigrid
>>> "MiniGrid-Empty-8x8-v0" in gym.envs.registry.keys()
True
The text was updated successfully, but these errors were encountered:
The environment generator utility for the training (train.py), evaluation (evaluate.py), and visualizer (visualize.py) does not import minigrid, leading to an error.
Traceback:
Isolated example:
The text was updated successfully, but these errors were encountered: