Vivek Myers

I’m a PhD student at Berkeley Artificial Intelligence Research (BAIR) advised by Anca Dragan and Sergey Levine with support from an NDSEG fellowship. My research interests include robot learning, human-robot interaction, and reinforcement learning. Before coming to Berkeley, I got my bachelor's degree in Computer Science and Mathematics at Stanford University, where I worked with Dorsa Sadigh.

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Research
example tasks
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Max Du, Chongyi Zheng, Tony Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine
Conference on Robot Learning (CoRL), 2023
task alignment
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers,* Andre He,* Kuan Fang, Homer Walke, Phillipe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca Dragan, Sergey Levine
Conference on Robot Learning (CoRL), 2023
reasoning pipeline
Toward Grounded Social Reasoning
Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca Dragan, Dorsa Sadigh
arXiv 2023 (Preprint)
querying method
Active Reward Learning from Online Preferences
Vivek Myers, Erdem Bıyık, Dorsa Sadigh
IEEE International Conference on Robotics and Automation (ICRA), 2023
robot
Learning Multimodal Rewards from Rankings
Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh
Conference on Robot Learning (CoRL), 2021 (Oral Presentation)
plots
Effective Surrogate Models for Protein Design with Bayesian Optimization
Nate Gruver, Samuel Stanton, Polina Kirichenko, Marc Finzi, Phillip Maffettone, Vivek Myers, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
ICML 2021 Workshop on Computational Biology
point cloud
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
Vivek Myers, Peyton Greenside
ICML 2020 Workshop on Real World Experiment Design and Active Learning