Skip to main content

Transformer RL Directed Evolution (wip)

Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster

Citations

@article{Song2023ReinforcementLE,
    title   = {Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities},
    author  = {Yanjie Song and Yutong Wu and Yangyang Guo and Ran Yan and Ponnuthurai Nagaratnam and Suganthan and Yue Zhang and Witold Pedrycz and Ying Wu Chen and Swagatam Das and R. Mallipeddi and Solomon Ajani},
    journal = {Swarm Evol. Comput.},
    year   = {2023},
    volume = {86},
    pages  = {101517},
    url    = {https://api.semanticscholar.org/CorpusID:261214753}
}
@inproceedings{mysore2022multicritic,
    title   = {Multi-Critic Actor Learning: Teaching {RL} Policies to Act with Style},
    author  = {Siddharth Mysore and George Cheng and Yunqi Zhao and Kate Saenko and Meng Wu},
    booktitle = {International Conference on Learning Representations},
    year    = {2022},
    url     = {https://openreview.net/forum?id=rJvY_5OzoI}
}
@article{ShemTov2024DeepNC,
    title  = {Deep Neural Crossover: A Multi-Parent Operator That Leverages Gene Correlations},
    author = {Eliad Shem-Tov and Achiya Elyasaf},
    journal = {Proceedings of the Genetic and Evolutionary Computation Conference},
    year   = {2024},
    url    = {https://api.semanticscholar.org/CorpusID:268512900}
}
@misc{gutiérrezvalencia2021genomicarchitectureevolutionaryfates,
    title   = {The genomic architecture and evolutionary fates of supergenes},
    author  = {Juanita Gutiérrez-Valencia and William Hughes and Emma L. Berdan and Tanja Slotte},
    year    = {2021},
    eprint  = {2012.11508},
    archivePrefix = {arXiv},
    primaryClass = {q-bio.PE},
    url     = {https://arxiv.org/abs/2012.11508},
}
@article{monroe2022mutation,
    title   = {Mutation bias reflects natural selection in \textit{Arabidopsis thaliana}},
    author  = {Monroe, J. Grey and Srikant, Thanvi and Carbonell-Bejerano, Pablo and Becker, Claude and Lensink, Mariele and Exposito-Alonso, Moises and Klein, Marie and Hildebrandt, Julia and Neumann, Manuela and Kliebenstein, Daniel and Weng, Mao-Lun and Imbert, Eric and {\AA}gren, Jon and Rutter, Matthew T. and Fenster, Charles B. and Weigel, Detlef},
    journal = {Nature},
    year    = {2022},
    publisher = {Nature Publishing Group},
    doi     = {10.1038/s41586-021-04269-6},
    url     = {https://www.nature.com/articles/s41586-021-04269-6}
}

Metadata

Release files for transformer-directed-evolution 0.0.5

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

Source distribution (sdist)

Source distribution for transformer-directed-evolution 0.0.5
File Size Uploaded
transformer_directed_evolution-0.0.5.tar.gz 9.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for transformer-directed-evolution 0.0.5
File Interpreter ABI Platform
transformer_directed_evolution-0.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 18.1 kB

Release files / transformer_directed_evolution-0.0.5.tar.gz

Download URL transformer_directed_evolution-0.0.5.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
How to use checksums
1a1ee110b7cb13916659d0b8da8440a1db007021b27b0ffff6f9aba300aad95e
BLAKE2b-256 checksum
How to use checksums
31e1c5269f97f214d23560cc77d864038af13acb0cf0031b9b8c3fb8a18e2e25
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release files / transformer_directed_evolution-0.0.5-py3-none-any.whl

Download URL transformer_directed_evolution-0.0.5-py3-none-any.whl
Size 9.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f0552347a893338cf06df02225f58523ee1e3450acc4c3fa5c391dd5c8c2a94b
BLAKE2b-256 checksum
How to use checksums
8fd00cd52d80f0f827fcff8250416e422254fff6281ed2494b16a2c44fb75015
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.8.17

Release history Release notifications | RSS feed

This release

0.0.5 This release

2 release files

0.0.4

2 release files

0.0.3

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page