ref [46] · 2501.15001 · notice #9444 · dispute
Raw extraction · citation context
, Balis, J.U., De Cola, G., Deleu, T., Goul˜ ao, M., Kallinteris, A., Krimmel, M., KG, A., et al.: Gymnasium: A standard interface for reinforcement learning environments. arXiv preprint arXiv:2407.17032 (2024) [46] Baden, T.: From water to land: Evolution of photoreceptor circuits for vision in air. PLOS Biology 22(1), 3002422 (2024) https://doi.org/10.1371/journal.pbio.3002422 [47] Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evolutionary Computation 10(2), 99-127 (2002) https://doi.org/10.1162/ 106365602320169811 [48] Salimans, T., Ho, J., Chen, X., Sidor, S., Sutskever, I.: Evolution strategies as a scalable alternative to reinforcement learning. arXiv preprint arXiv:1703.03864 (2017)
Parser render (TeX stripped for reading; raw above is the evidence)
Balis, J.U., De Cola, G., Deleu, T., Goul˜ ao, M., Kallinteris, A., Krimmel, M., KG, A., et al.: Gymnasium: A standard interface for reinforcement learning environments. arXiv preprint arXiv:2407.17032 (2024) [46] Baden, T.: From water to land: Evolution of photoreceptor circuits for vision in air. PLOS Biology 22(1), 3002422 (2024) https://doi.org/10.1371/journal.pbio.3002422 [47] Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evolutionary Computation 10(2), 99-127 (2002) https://doi.org/10.1162/ 106365602320169811 [48] Salimans, T., Ho, J., Chen, X., Sidor, S., Sutskever, I.: Evolution strategies as a scalable alternative to reinforcement learning. arXiv preprint arXiv:1703.03864 (2017)