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98bc8ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # Committed Q-learning
This is the official repository to the paper "Commit to the Bit: Reactive Reinforcement Learning Done Right" by Onno Eberhard, Claire Vernade, and Michael Muehlebach (published at ICML 2026).
The file `qcorridor.jl` contains our implementation of Committed Q-learning (as well as regular Q-learning) that was used to generate Figure 3 of the paper.
## Citation
If you use this code in your research, please cite our paper:
```bibtex
@inproceedings{eberhard-2026-commit,
title = {Commit to the Bit: Reactive Reinforcement Learning Done Right},
author = {Eberhard, Onno and Vernade, Claire and Muehlebach, Michael},
booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
year = {2026},
series = {Proceedings of Machine Learning Research},
}
```
If there are any problems, or if you have a question, don't hesitate to open an issue here on GitHub.
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