APA   Click to copy
Zolman, N., Lagemann, C., Fasel, U., Kutz, J. N., & Brunton, S. L. (2025). SINDy-RL for interpretable and efficient model-based reinforcement learning. Nature Communications, 16.

Chicago/Turabian   Click to copy
Zolman, Nicholas, Christian Lagemann, Urban Fasel, J Nathan Kutz, and Steven L Brunton. “SINDy-RL for Interpretable and Efficient Model-Based Reinforcement Learning.” Nature Communications 16 (2025).

MLA   Click to copy
Zolman, Nicholas, et al. “SINDy-RL for Interpretable and Efficient Model-Based Reinforcement Learning.” Nature Communications, vol. 16, 2025.

@article{zolman2025a,
  title = {SINDy-RL for interpretable and efficient model-based reinforcement learning},
  year = {2025},
  journal = {Nature Communications},
  volume = {16},
  author = {Zolman, Nicholas and Lagemann, Christian and Fasel, Urban and Kutz, J Nathan and Brunton, Steven L}
}