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continuous-time

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A continuous depth language model framework in Julia, implementing Neural ODE Transformers, custom continuous attention integrators, reversible depth architectures, adjoint-based training, and efficient KV-cached inference.

  • Updated Dec 13, 2025
  • Julia

End-to-end Python implementation of Huang's (2025) continuous-time RL methodology for asset-liability management. Features model-free soft actor-critic with adaptive exploration, entropy regularization, and Euler-Maruyama SDE simulation. Includes 7 baselines (SAC/PPO/DDPG/CPPI/ACS/MBP), parallelized execution, and Wilcoxon statistical validation.

  • Updated Oct 5, 2025
  • Jupyter Notebook

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