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View Code? Open in Web Editor NEWA benchmark for evaluating learning agents based on just language feedback
Home Page: https://microsoft.github.io/LLF-Bench/
License: MIT License
A benchmark for evaluating learning agents based on just language feedback
Home Page: https://microsoft.github.io/LLF-Bench/
License: MIT License
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Following the README file and running the following code with the latest version would yield error: Environment llf-Gridworld-v0
doesn't exist.
import llfbench as gym
env = gym.make('llf-Gridworld-v0')
I looked into the __init__
file, line 5 is causing the issue env = gym.make(env_name)
, where the "gym" is the gymnasium rather than llf-bench.
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Why the meta world env is truncated to 30 steps, can agents complete all games within 30 steps?
maybe other environments also have this problem, i haven't tried.
(the random generator state needs to be copied in a custom __deepcopy__
hook ...)
Thanks for the interesting work. I try to use this repo, but for alfworld and meta world, there seems many packages are missing. For example, in the screenshot, there's no alfworld.agents in the file system but the code try to import it. I think you used the code from alfworld directly but somehow deleted some directories. Could you please fix that? Thank [you!]
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