Wen-Tse Chen 陳文澤

I am an incoming PhD student at Carnegie Mellon University RI advised by Prof. Jeff Schneider. Prior to this, I pursued my undergraduate studies in Automation at Tsinghua University, where I had the privilege of working alongside Prof. Jun Zhu.

Email  /  Google Scholar  /  Github

I am looking for a part-time internship starting in Fall 2025

My research interests focus on LLM agents, deep reinforcement learning, and their applications in decision-making and robotics.

Proposed a multi-turn reinforcement learning framework built for long-horizon LLM-agentic tasks with highly variable episode lengths.

Proposed a scalable, decentralized MARL-based system for coordinating a team of quadrupedal robots to collaboratively tow a cable-connected load through cluttered environments, ensuring flexibility, scalability, and robustness across varying team sizes and environmental conditions.

Presented a sample-efficient method for online fine-tuning LLM agents by using in-context learning to convert sparse feedback into dense signals, enabling LLMs to adapt to dynamic environments with minimal data.

Proposed an on-policy framework for discovering multiple diverse optimal strategies for the same task in a single training process.

last update: Aug 12nd, 2025

Copy from Dr. Jon Barron's page.