WebGym
The WebGym package provides learning environments for agents to perceive the world-wide-web like how we (humans) perceive – using the pixels rendered on to the display screen. The agent interacts with the environment using keyboard and mouse events as actions. This allows the agent to experience the world-wide-web like how we do thereby require no new additional modifications for the agents to train. This allows us to train RL agents that can directly work with the web-based pages and applications to complete real-world tasks. It is an extension of Wolrd-Of-Bits (WOB) & MiniWoB++.
WebGym is part of TensorFlow Reinforcement Learning Cookbook. More details about this package, see Deep RL Web Assistants discussed in Chapter 6 - RL in real-world: Building intelligent agents to complete your To-dos
Metadata
Release files for webgym 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| webgym-1.0.6.tar.gz | 1.5 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| webgym-1.0.6-py3.8.egg | Legacy Egg format | - | - | Details |
| webgym-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 MB
Release files / webgym-1.0.6.tar.gz
| Download URL | webgym-1.0.6.tar.gz |
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| Size | 1.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.0
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Release files / webgym-1.0.6-py3.8.egg
| Download URL | webgym-1.0.6-py3.8.egg |
|---|---|
| Size | 1.7 MB |
| Tags | Egg |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.0
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Release files / webgym-1.0.6-py3-none-any.whl
| Download URL | webgym-1.0.6-py3-none-any.whl |
|---|---|
| Size | 1.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.0
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