Wentse Chen

PhD student, Robotics, School of Computer Science, Carnegie Mellon University

Joined

May 2022

Names

Wentse Chen (Preferred)

Wenze Chen

Emails

****@mails.tsinghua.edu.cn (Confirmed)

****@andrew.cmu.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Robotics, School of Computer Science, Carnegie Mellon University (cs.cmu.edu)

2025 – Present

MS student

Robotics, School of Computer Science, Carnegie Mellon University (cs.cmu.edu)

2023 – 2025

Undergrad student

Automation, Tsinghua University (tsinghua.edu.cn)

2019 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Jeff Schneider

2023 – 2025

Expertise

deep reinforcement learning

2021 – Present

Publications

Verlog: An Efficient Synchronized Multi-turn RL Framework for LLM Agents
Wentse Chen, Jiayu Chen, Hao Zhu, Fahim Tajwar, Ruslan Salakhutdinov, Jeff Schneider
- Submitted to ICLR 2026
- Readers: Everyone
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen, Le Xu, Wentse Chen, Jeff Schneider
- ICLR 2026 Poster
- Readers: Everyone
Verlog: Context-lite Multi-turn Reinforcement Learning framework for Long-Horizon LLM Agents
Wentse Chen, Jiayu Chen, Hao Zhu, Jeff Schneider
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan, Yutong He, Fahim Tajwar, Wentse Chen, Ruslan Salakhutdinov, Jeff Schneider
- Accepted by TMLR
- Readers: Everyone
Context-lite Multi-turn Reinforcement Learning for LLM Agents
Wentse Chen, Jiayu Chen, Hao Zhu, Jeff Schneider
- ES-FoMo III
- Readers: Everyone
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wentse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Ruslan Salakhutdinov, Jeff Schneider
- NeurIPS 2025 poster
- Readers: Everyone
Fine-tuning LLM Agents with Retrospective In-Context Online Learning
Wentse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Russ Salakhutdinov, Jeff Schneider
- AFM 2024 Oral
- Readers: Everyone
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen, Wentse Chen, Jeff Schneider
- Submitted to ICLR 2025
- Readers: Everyone
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan, Yutong He, Fahim Tajwar, Wentse Chen, Russ Salakhutdinov, Jeff Schneider
- Submitted to ICLR 2025
- Readers: Everyone
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone

View all 12 publications