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.
|
|
Preprints
|
|
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin EysenbachVivek MyersRuslan SalakhutdinovSergey Levine
|
|
Publications
|
|
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
Vivek MyersBill Chunyuan ZhengOier MeesSergey LevineKuan Fang
Conference on Robot Learning (CoRL), 2024
|
|
|
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek MyersChongyi ZhengAnca DraganSergey LevineBenjamin Eysenbach
International Conference on Machine Learning (ICML), 2024
|
|
|
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
Michelle PanMariah SchrumVivek MyersErdem BıyıkAnca Dragan
International Conference on Machine Learning (ICML), 2024
|
|
|
Toward Grounded Commonsense Reasoning
Minae KwonHengyuan HuVivek MyersSiddharth KaramchetiAnca DraganDorsa Sadigh
IEEE International Conference on Robotics and Automation (ICRA), 2024
|
|
|
BridgeData V2: A Dataset for Robot Learning at Scale
Homer WalkeKevin BlackAbraham LeeMoo Jin KimMax DuChongyi ZhengTony ZhaoPhilippe Hansen-EstruchQuan VuongAndre HeVivek MyersKuan FangChelsea FinnSergey Levine
Conference on Robot Learning (CoRL), 2023
|
|
|
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek MyersAndre HeKuan FangHomer WalkePhillipe Hansen-EstruchChing-An ChengMihai JalobeanuAndrey KolobovAnca DraganSergey Levine
Conference on Robot Learning (CoRL), 2023
|
|
|
Active Reward Learning from Online Preferences
Vivek MyersErdem BıyıkDorsa Sadigh
IEEE International Conference on Robotics and Automation (ICRA), 2023
|
|
|
Learning Multimodal Rewards from Rankings
Vivek MyersErdem BıyıkNima AnariDorsa Sadigh
Conference on Robot Learning (CoRL), 2021
(Oral Presentation)
|
|
|
Effective Surrogate Models for Protein Design with Bayesian Optimization
Nate GruverSamuel StantonPolina KirichenkoMarc FinziPhillip MaffettoneVivek MyersEmily DelaneyPeyton GreensideAndrew Gordon Wilson
ICML 2021 Workshop on Computational Biology
|
|
|
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
Vivek MyersPeyton Greenside
ICML 2020 Workshop on Real World Experiment Design and Active Learning
|
|