Richard Hoffmann

Computing + Mathematical Sciences Junior at Caltech.

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rhoffman@caltech.edu

Hey! I’m Richard, a third-year undergrad at Caltech studying Computer Science and minoring in Control & Dynamical Systems. I’m fortunate to be advised by Prof. Adam Wierman.

Broadly, I’m interested in embodied AI. My work involves reinforcement learning, decision-making, large language models, and spatial intelligence. Right now, I’m researching scalable multi-agent RL! I’m also working on LLM post-training to prove polynomial inequalities under Prof. Tony Yue Yu at Caltech. In the past, I worked under Dr. Alec Reed at CU Boulder’s Autonomous Robotics Lab on predictive vehicle dynamics.

I have interned at Amazon AWS in Seattle and Commerzbank in New York City working on software development.

Selected Publications

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    Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
    Qirun Zeng, Eric He, Richard Hoffmann, and 2 more authors
    arXiv preprint, 2025

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