Andrew Patterson

Predicting Clinical Events Based on Raw Text: From Bag-of-Words to Attention-Based Transformers

2022 · Frontiers in Digital Health

Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful …

Deep Reinforcement Learning with Gradient Eligibility Traces

2025 · arXiv (Cornell University)

Achieving fast and stable off-policy learning in deep reinforcement learning (RL) is challenging. Most existing methods rely on semi-gradient temporal-difference (TD) methods for their simplicity and efficiency, but are consequently susceptible to divergence. While more …