Dan Sun

Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees

2024 · arXiv (Cornell University)

This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a approach this article introduces an innovative theoretical framework to meticulously assess …

Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training

2024 · arXiv (Cornell University)

Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment strategies for maximizing benefits. Over the centuries, from the geometric inquiries …