\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.
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Release files for rllib-emecom 0.0.7
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Source distribution (sdist)
| File | Size | Uploaded | |
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| rllib_emecom-0.0.7.tar.gz | 33.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rllib_emecom-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.7 kB
Release files / rllib_emecom-0.0.7.tar.gz
| Download URL | rllib_emecom-0.0.7.tar.gz |
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| Size | 33.6 kB |
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Release files / rllib_emecom-0.0.7-py3-none-any.whl
| Download URL | rllib_emecom-0.0.7-py3-none-any.whl |
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| Size | 45.1 kB |
| Tags | Python 3 |
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