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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

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0.0.9

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