Chenhao Li

PhD student, ETHZ - ETH Zurich

Joined

June 2022

Names

Chenhao Li (Preferred)

Emails

****@ethz.ch (Confirmed)

****@tuebingen.mpg.de (Confirmed)

****@mit.edu (Confirmed)

****@ai.ethz.ch (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

ETHZ - ETH Zurich (ethz.ch)

2023 – Present

Advisors, Relations & Conflicts

PhD Advisor

Marco Hutter

2023 – Present

PhD Advisor

Andreas Krause

2023 – Present

Expertise

reinforcement learning

Present

legged robotics

Present

Publications

Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
Klemens Iten, Bruce D Lee, Chenhao Li, Lenart Treven, Andreas Krause, Bhavya Sukhija
- OpenReview Archive Direct Upload
- Readers: Everyone
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
- 2024 IEEE International Conference on Robotics and Automation (ICRA)
- Readers: Everyone
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
Chenhao Li, Andreas Krause, Marco Hutter
- ICLR 2026 Workshop World Models
- Readers: Everyone
Enhancing Zero-Shot VLM Reward Models Through Structure-Aware Fine-Tuning
Pyrros Koussios, Chenhao Li, Xin Chen, Andreas Krause
- Submitted to ICLR 2026
- Readers: Everyone
Making Offline Model-Based Reinforcement Learning Work on Real Robots
Chenhao Li, Andreas Krause, Marco Hutter
- Submitted to ICLR 2026
- Readers: Everyone
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
Chenhao Li, Andreas Krause, Marco Hutter
- NeurIPS 2025 Workshop EWM Oral
- Readers: Everyone
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
Chenhao Li, Andreas Krause, Marco Hutter
- LSRW Spotlight
- Readers: Everyone
Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility
Zewei Zhang, Chenhao Li, Takahiro Miki, Marco Hutter
- CoRL 2025 Poster
- Readers: Everyone
Constrained Style Learning from Imperfect Demonstrations under Task Optimality
Kehan Wen, Chenhao Li, Junzhe He, Marco Hutter
- CoRL 2025 Poster
- Readers: Everyone
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi et al. (1 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone

View all 15 publications

Co-Authors

View all 41 co-authors