survival-rl

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 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for survival-rl 0.0.4
File	Size	Uploaded
survival_rl-0.0.4.tar.gz	7.0 kB	Sep 29, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for survival-rl 0.0.4
File	Interpreter	ABI	Platform	Reset
survival_rl-0.0.4-py3-none-any.whl 7.5 kB Sep 29, 2026	Python 3	none	any	Details

Total release size: 14.5 kB

Release files / survival_rl-0.0.4.tar.gz

Download URL	survival_rl-0.0.4.tar.gz
Size	7.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`756562f947e72893c1bf2eeac2c5395265c4a5bf2ffa2aeb2078e0195b4580b7`
BLAKE2b-256 checksum How to use checksums	`0ecef05d39674a48a76558417113d04c58bd3653290e1d219af3a5f34ef266bc`
Upload date	Sep 29, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.8.17`

Release files / survival_rl-0.0.4-py3-none-any.whl

Download URL	survival_rl-0.0.4-py3-none-any.whl
Size	7.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`00b9b6ebcc191251a94b7aecee28b7570bf68a8a11c79eb8481052208acb63fd`
BLAKE2b-256 checksum How to use checksums	`bcdc085251a1345f880c6fd9563e4dff182b9f746851f2b2d26fcadc50765fcb`
Upload date	Sep 29, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.8.17`