Directed Evolution with Transformer
Project description
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}
}
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