Tong Mu

Researcher, OpenAI

Joined

June 2020

Names

Tong Mu (Preferred)

Emails

****@stanford.edu (Confirmed)

,

****@gmail.com (Confirmed)

,

****@openai.com (Confirmed)

Personal Links

Career & Education History

Researcher

OpenAI (openai.com)

2022 – Present

PhD student

Stanford University (stanford.edu)

2016 – 2022

Advisors, Relations & Conflicts

PhD Advisor

2017 – Present

Expertise

Reinforcement Learning

Present

LLM Safety

Present

Publications

Rule Based Rewards for Fine-Grained LLM Safety
Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian D Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
- NextGenAISafety 2024 Poster
- Readers: Everyone
Rule Based Rewards for Language Model Safety
Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian D Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
- NeurIPS 2024 poster
- Readers: Everyone
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
- ICML 2023 Poster
- Readers: Everyone
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning
Tong Mu, Stephan Zheng, Alexander R Trott
- Accepted by TMLR
- Readers: Everyone
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu, Yash Chandak, Tatsunori Hashimoto, Emma Brunskill
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning
Tong Mu, Stephan Zheng, Alexander R Trott
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone

Co-Authors