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Vivek Myers
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Bridgedata v2: A dataset for robot learning at scale
HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ...
Conference on Robot Learning, 1723-1736, 2023
51*2023
Learning multimodal rewards from rankings
V Myers, E Biyik, N Anari, D Sadigh
Conference on robot learning, 342-352, 2022
432022
Goal representations for instruction following: A semi-supervised language interface to control
V Myers, AW He, K Fang, HR Walke, P Hansen-Estruch, CA Cheng, ...
Conference on Robot Learning, 3894-3908, 2023
162023
Effective surrogate models for protein design with bayesian optimization
N Gruver, S Stanton, P Kirichenko, M Finzi, P Maffettone, V Myers, ...
ICML Workshop on Computational Biology 183, 2021
162021
Active reward learning from online preferences
V Myers, E Bıyık, D Sadigh
2023 IEEE International Conference on Robotics and Automation (ICRA), 7511-7518, 2023
102023
Toward grounded commonsense reasoning
M Kwon, H Hu, V Myers, S Karamcheti, A Dragan, D Sadigh
arXiv e-prints, arXiv: 2306.08651, 2023
9*2023
Inference via interpolation: Contrastive representations provably enable planning and inference
B Eysenbach, V Myers, R Salakhutdinov, S Levine
arXiv preprint arXiv:2403.04082, 2024
4*2024
Video-Guided Skill Discovery
M Tomar, D Ghosh, V Myers, A Dragan, ME Taylor, P Bachman, S Levine
ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023
12023
Bayesian meta-learning through variational gaussian processes
V Myers, N Sardana
arXiv preprint arXiv:2110.11044, 2021
12021
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
V Myers, P Greenside
arXiv preprint arXiv:2007.10263, 2020
12020
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
M Pan, M Schrum, V Myers, E Bıyık, A Dragan
arXiv preprint arXiv:2406.06714, 2024
2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
V Myers, C Zheng, A Dragan, S Levine, B Eysenbach
Forty-first International Conference on Machine Learning, 2024
2024
Learning to Assist Humans without Inferring Rewards
V Myers, E Ellis, B Eysenbach, S Levine, A Dragan
ICML 2024 Workshop on Models of Human Feedback for AI Alignment, 2024
2024
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Articles 1–13