Simulator interface library for Bonsai AI platform v2
Project description
A python library for integrating data sources with Bonsai BRAIN.
Installation
- To install the current release version:
$ pip install bonsai-ai
Usage
Clients will subclass bonsai.Simulator and implement the required methods.
Example:
#!/usr/bin/env python3 import sys from bonsai_ai import Simulator, Brain, Config class MySim(Simulator): def episode_start(self, parameters): initial = {"value": 1.0} return initial def simulate(self, action, objective): terminal = True state = {"value": 1.0} return (state, 1.0, terminal)
Then, the simulator is configured and assigned a BRAIN and run.
def example(): config = Config(sys.argv) brain = Brain(config) sim = MySim(brain, 'example_simulator') while sim.run(): continue
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
bonsai-ai-2.2.8.tar.gz
(36.9 kB
view hashes)
Built Distribution
Close
Hashes for bonsai_ai-2.2.8-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 44c5d494299c2cae1937f4a13e5494dea7d65eb35548f5cbf59f0b0e852c1eec |
|
MD5 | 877a27eadeae616f85aeb9e3d1fc1833 |
|
BLAKE2b-256 | 2f3028e80fb6d0f0de7b5d11b2bb2890047bd14e3059d9bcc08d6134cac7bab0 |