Multi-agent simulation library in Python
Project description
Westworld
Description
Westworld is a multi-agent simulation library, its goal to simulate and optimize systems and environments with multiple agents interacting. Its inspiration is drawn from Unity software and Unity ML Agents, adapted in Python.
The goal is to be able to simulate environments in logistics, retails, epidemiology, providing pre-coded spatial environments and communication between agents. Optimization can be included using heuristics as well as Reinforcement Learning.
Library under active development
The name is of course inspired by the TV series Westworld, which is actually a gigantic multi-agent simulation system.
Documentation
Documentation is available locally in docs folder or online at https://theolvs.github.io/westworld
Repo structure
- docs : documentation of the library
- examples : simulation examples and development tests
- westworld : library
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for westworld-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5274599469623b85c084843d65700c1afe4d22fea08ae5fc1a66a384d3cca802 |
|
MD5 | 51b1e715ab22ac0322c9fbefe76e523d |
|
BLAKE2b-256 | 201c9394e9cddad9477f2cecc14c2531b9641e9cd08675b8db39f68bc4e52f47 |