Publications

2024

1. ICML

   

   ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization

   Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, and Pulkit Agrawal

   In ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and Theorists, 2024

   Bib

   @inproceedings{zhang2024orso,
     title = {ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization},
     author = {Zhang, Chen Bo Calvin and Hong, Zhang-Wei and Pacchiano, Aldo and Agrawal, Pulkit},
     booktitle = {ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and Theorists},
     year = {2024},
   }

2023

1. arXiv

   

   Zero-Shot Transfer in Imitation Learning

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

   arXiv preprint arXiv:2310.06710, 2023

   Bib

   @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},
   }

2. ICML

   

   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

   @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},
   }