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 reinforcement
learning, human-robot interaction, and robotics. 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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![me](images/portrait.jpg) |
Research
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Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers, Chongyi Zheng, Anca Dragan, Sergey Levine, Benjamin Eysenbach
International Conference on Machine Learning (ICML), 2024
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Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
Michelle Pan*, Mariah Schrum*, Vivek Myers, Erdem Bıyık, Anca Dragan
International Conference on Machine Learning (ICML), 2024
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Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach*, Vivek Myers*, Ruslan Salakhutdinov, Sergey Levine
arXiv 2024 (Preprint)
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Toward Grounded Commonsense Reasoning
Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca Dragan, Dorsa Sadigh
IEEE International Conference on Robotics and Automation (ICRA), 2024
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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
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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
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Active Reward Learning from Online Preferences
Vivek Myers, Erdem Bıyık, Dorsa Sadigh
IEEE International Conference on Robotics and Automation (ICRA), 2023
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Learning Multimodal Rewards from Rankings
Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh
Conference on Robot Learning (CoRL), 2021
(Oral Presentation)
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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
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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
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