2 papers
cs.LG2024
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
Cangqing Wang, Mingxiu Sui, Dan Sun +2
This research delves deeply into Meta Reinforcement Learning (Meta RL) through a exploration focusing on defining generalization limits and ensuring convergence. By employing a app…
cs.LG2024
Adapting LLMs for Efficient Context Processing through Soft Prompt Compression
Cangqing Wang, Yutian Yang, Ruisi Li +5
The rapid advancement of Large Language Models (LLMs) has inaugurated a transformative epoch in natural language processing, fostering unprecedented proficiency in text generation,…