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:
@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.