Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

Abstract: This paper proposes a novel iterative gradient-based optimization approach aimed at achieving more precise and streamlined approximations for the Gaussian Q function—an essential element in ...

Abstract: Gradient-based Bi-Level Optimization (BLO) methods have been widely applied to handle modern learning tasks. However, most existing strategies are theoretically designed based on restrictive ...

This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...

Reinforcement learning (RL) based investment strategies have been widely adopted in portfolio management (PM) in recent years. Nevertheless, most RL-based approaches may often emphasize on pursuing ...