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When trying to execute the tutorial for RLlib: PPO for Pistonball, the tune object errors out because RLLib has depecrated the local_dir parameter and needs to be switched to storage_path. I know that the tutorial says to use RLIib version 2.7.0, but the latest version is now 2.35.0. Should the tutorial be updated to reflect the new parameter set for tune? If so, I can submit a pull request to update the tutorial.
/python/ray/tune/tune.py
Code example
tune.run(
"PPO",
name="PPO",
stop={"timesteps_total": 5000000 if not os.environ.get("CI") else 50000},
checkpoint_freq=10,
local_dir="~/ray_results/" + env_name,
config=config.to_dict(),
)
System info
Python Version: 3.10.12
Torch Version: 2.4.0+cu121
Cuda Version: 12.1
Gymnasium Version: 0.28.1
PettingZoo Version: 1.24.3
Ray Version: 2.35.0
Additional context
No response
Checklist
I have checked that there is no similar issue in the repo
The text was updated successfully, but these errors were encountered:
Describe the bug
When trying to execute the tutorial for RLlib: PPO for Pistonball, the
tune
object errors out because RLLib has depecrated thelocal_dir
parameter and needs to be switched tostorage_path
. I know that the tutorial says to use RLIib version 2.7.0, but the latest version is now 2.35.0. Should the tutorial be updated to reflect the new parameter set for tune? If so, I can submit a pull request to update the tutorial./python/ray/tune/tune.py
Code example
System info
Python Version: 3.10.12
Torch Version: 2.4.0+cu121
Cuda Version: 12.1
Gymnasium Version: 0.28.1
PettingZoo Version: 1.24.3
Ray Version: 2.35.0
Additional context
No response
Checklist
The text was updated successfully, but these errors were encountered: