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Chenxiao Gao
Georgia Institute of Technology
I am a Machine Learning Ph.D. student at Georgia Institute of Technology, advised by Prof. Bo Dai. I am fortunate to collaborate with Prof. Na Li and the students in her group at Harvard University. Before starting my Ph.D., I received my bachelorโs and masterโs degrees from Nanjing University, where I conducted research in the LAMDA group.
My research focuses on reinforcement learning (RL) and generative modeling, with applications to LLM agents and robotics. My work spans three directions:
- Efficient reinforcement learning: Developing RL algorithms that improve efficiency through self-supervised learning and advances in generative model architectures.
- Generative models and agents for robotics: Developing foundational generative models and agentic systems for robotic learning and decision-making.
- LLM and agent post-training: Designing efficient post-training algorithms for large language models and interactive agents.
Feel free to contact me if you are interested in my research!
News
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We released RLE-Bench, a benchmark evaluating coding agents as robot learning engineers. Read our research blog and the Harvard SEAS news coverage.
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I moved to Boston and joined Prof. Na Liโs group at Harvard University as a Research Fellow!
Education
Experience
Academic Service
- Reviewer for conferences: ICML 2025-2026, NeurIPS 2025, ICLR 2025-2026, IJCAI 2025, AAAI 2025-2026, UAI 2025
- Reviewer for journals: TMLR
- Teaching Assistant: CX4240 - Computing for Data Analysis
Software / Projects
- RLE-Bench
A benchmark for evaluating coding agents as robot learning engineers.
- Flow-RL
A modular JAX framework for reinforcement learning with diffusion and flow policies.
- Spectral-RL
Spectral representations for reinforcement learning and downstream policy optimization.
Visitors
- Visits
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- Countries / regions
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