Survival RL (wip)
Explorations into an application of survival analysis to RL, proposed by Tiofack et al. earlier this year
Citations
@inproceedings{Tiofack2026SVL,
title = {SVL: Goal-Conditioned Reinforcement Learning as Survival Learning},
author = {Franki Nguimatsia Tiofack and Fabian Schramm and Th{\'e}otime Le Hellard and Justin Carpentier},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2026},
url = {https://arxiv.org/abs/2604.17551}
}
@article{Tiofack2026SRL,
title = {Survival Reinforcement Learning: Toward Scalable Self-Supervised RL},
author = {Franki Nguimatsia-Tiofack and Fabian Schramm and Th{\'e}otime Le Hellard and Justin Carpentier},
journal = {arXiv preprint arXiv:2605.31273},
year = {2026},
note = {19th European Workshop on Reinforcement Learning (EWRL), Oral},
url = {https://arxiv.org/abs/2605.31273}
}
Metadata
Release files for survival-rl 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| survival_rl-0.0.1.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| survival_rl-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.2 kB
Release files / survival_rl-0.0.1.tar.gz
| Download URL | survival_rl-0.0.1.tar.gz |
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| Size | 5.5 kB |
| Tags | Source |
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Release files / survival_rl-0.0.1-py3-none-any.whl
| Download URL | survival_rl-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
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