Reinforcement Learning Environments for 50+ web-based tasks
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file webgym-1.0.6.tar.gz
.
File metadata
- Download URL: webgym-1.0.6.tar.gz
- Upload date:
- Size: 1.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cdb63bce2cd6184dfac6fab9de8dd6a76cb51c922cb3e479718862957027fcfe |
|
MD5 | 1dbda33b23f0cd9b47d01a169d9ebdba |
|
BLAKE2b-256 | 19b4c41e78be53ed2ed8ba05f40098b10e1047cffbf48c37ef7943634d9178b7 |
File details
Details for the file webgym-1.0.6-py3.8.egg
.
File metadata
- Download URL: webgym-1.0.6-py3.8.egg
- Upload date:
- Size: 1.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e6feea400ce5c6b10881315355651b2ea26393af0345149d8e98bdf4b86d1db |
|
MD5 | 92763f652b26356926d6ad092fe414f3 |
|
BLAKE2b-256 | 79aba6098a6dd7d52d177722a498cf480bba34ad41d5aaefa8ffe12c242a122b |
File details
Details for the file webgym-1.0.6-py3-none-any.whl
.
File metadata
- Download URL: webgym-1.0.6-py3-none-any.whl
- Upload date:
- Size: 1.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e97a72e4c480b352ac814957515c80df68316bb7dd49ed5cdb44fc8ddc00130 |
|
MD5 | 59bb6418f714631904b44430a792eba5 |
|
BLAKE2b-256 | 82819e2aa757ecc75b22cf9764e1a5d4b8b4b2d94c572535b8b362f5a59622c8 |