Framework for Emergent Communication using RLlib
Project description
\n# Emergent Communication Using RLlib
This repository provide a basic framework for training agents to communicate using RLlib. The agents communicate via a differentiable channel that allows us to backpropagate through the communication channel. Thereby, the parameters of the sender agent can be optimised to maximise the reward generated by the receiver agent's actions in the environment.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rllib_emecom-0.0.4.tar.gz
(2.3 kB
view details)
Built Distribution
File details
Details for the file rllib_emecom-0.0.4.tar.gz.
File metadata
- Download URL: rllib_emecom-0.0.4.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e22c9b2e7da19b99a5f65b3f2f76f70ca1c73070decded32d568c4f2ac4cecd6 |
|
| MD5 | 44533f1c35ac4a1a3c4a63c67911d21b |
|
| BLAKE2b-256 | 1fce9d581c22e03718a248568ba2ebcd38c40f7291ce34b27ed2efb78f298c41 |
File details
Details for the file rllib_emecom-0.0.4-py3-none-any.whl.
File metadata
- Download URL: rllib_emecom-0.0.4-py3-none-any.whl
- Upload date:
- Size: 2.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ab0ffea84628cd2bc4e97b69e5794698d6ae78c78537781dedce956f4cd84005 |
|
| MD5 | 1e75f069825d8b5b7bf14f2ec796daad |
|
| BLAKE2b-256 | ead3a1b179c03f2a8c18470baa72a7eb6f08e8f46dd3a51f14a6e781fa35d5eb |
