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david-istvan authored Aug 20, 2024
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A framework for human-informed reinforcement learning by subjective logic

[![License](https://img.shields.io/badge/license-GPL--3.0-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Unit tests](https://github.com/dagenaik/Uncertainty-in-Reinforcement-Learning/actions/workflows/ci.yaml/badge.svg)](https://github.com/dagenaik/Uncertainty-in-Reinforcement-Learning/actions/workflows/ci.yaml)
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# Repository structure
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- `-a [METHOD_NAME]` -- The `[METHOD_NAME]` value is one of the following: `cumulative_reward`, `heatmap`.
- `-s [True|False]` -- Stash folder results
- `--log [LOG_LEVEL]` -- The `[LOG_LEVEL]` value is one of the following: `critical`, `error`, `warn`, `warning`, `info`, `debug`.
- Results will be generated into `/06-analysis-output`
- Results will be generated into `/06-analysis-output`

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