Chen Bo Calvin Zhang (张晨博)

I am a visiting researcher at MIT working with Prof. Pulkit Agrawal and Zhang-Wei Hong. I am also a MSc student in Data Science at ETH Zurich, where I work closely with Giorgia Ramponi, Anas Barakat and Riccardo De Santi. My research interests lie in machine learning and optimization, with a focus on reinforcement learning and its applications in robotics.

Previously, I obtained my BSc (Hons) in Computer Science and Mathematics from the University of Manchester, where I worked on adversarial attacks for deep reinforcement learning under the supervision of Prof. Tingting Mu.

news

Jun 29, 2023	Our paper HIP-RL: Hallucinated Inputs for Preference-based Reinforcement Learning in Continuous Domains has been accepted to The Many Facets of Preference-based Learning workshop at ICML 2023.

latest posts

Oct 11, 2023	Wide & Deep Learning for Recommender Systems

selected publications

2023

HIP-RL: Hallucinated Inputs for Preference-based Reinforcement Learning in Continuous Domains

Chen Bo Calvin Zhang, and Giorgia Ramponi

In ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023

Bib HTML PDF

@inproceedings{zhang2023hip,
  title = {HIP-RL: Hallucinated Inputs for Preference-based Reinforcement Learning in Continuous Domains},
  author = {Zhang, Chen Bo Calvin and Ramponi, Giorgia},
  booktitle = {ICML 2023 Workshop The Many Facets of Preference-Based Learning},
  year = {2023},
}

arXiv

Zero-Shot Transfer in Imitation Learning

Alvaro Cauderan, Gauthier Boeshertz, Florian Schwarb, and Calvin Zhang

arXiv preprint arXiv:2310.06710, 2023

Bib HTML PDF

@article{cauderan2023zero,
  title = {Zero-Shot Transfer in Imitation Learning},
  author = {Cauderan, Alvaro and Boeshertz, Gauthier and Schwarb, Florian and Zhang, Calvin},
  journal = {arXiv preprint arXiv:2310.06710},
  year = {2023},
}