Web Gym
The Web as RL environments for LM training
This package contains constructs for converting the web into an RL environment where pre-trained language models can be fine-tuned via RL (PPO and other methods).
web-gym provides an interface for defining RL environments as mini-games
on the web and exposes a few built-in games such as the wikipedia navigation
game.
Development Installation
pip install .
Install ollama to run a local model: https://ollama.com/download
1 maintainer
Metadata
1 maintainer
Release files for webgymnasium 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| webgymnasium-0.0.0.tar.gz | 17.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| webgymnasium-0.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.5 kB
Release files / webgymnasium-0.0.0.tar.gz
| Download URL | webgymnasium-0.0.0.tar.gz |
|---|---|
| Size | 17.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.11.10
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Release files / webgymnasium-0.0.0-py3-none-any.whl
| Download URL | webgymnasium-0.0.0-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.0.1 CPython/3.11.10
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