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 | 89* | 2023 |
Learning multimodal rewards from rankings V Myers, E Biyik, N Anari, D Sadigh Conference on robot learning, 342-352, 2022 | 50 | 2022 |
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 | 20 | 2023 |
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 | 19 | 2021 |
Toward grounded commonsense reasoning M Kwon, H Hu, V Myers, S Karamcheti, A Dragan, D Sadigh 2024 IEEE International Conference on Robotics and Automation (ICRA), 5463-5470, 2024 | 16* | 2024 |
Active reward learning from online preferences V Myers, E Bıyık, D Sadigh 2023 IEEE International Conference on Robotics and Automation (ICRA), 7511-7518, 2023 | 11 | 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 | 6* | 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 | 2 | 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 | 2 | 2023 |
Policy adaptation via language optimization: Decomposing tasks for few-shot imitation V Myers, BC Zheng, O Mees, S Levine, K Fang arXiv preprint arXiv:2408.16228, 2024 | 1 | 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 | 1 | 2024 |
Bayesian meta-learning through variational gaussian processes V Myers, N Sardana arXiv preprint arXiv:2110.11044, 2021 | 1 | 2021 |
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data V Myers, P Greenside arXiv preprint arXiv:2007.10263, 2020 | 1 | 2020 |
Accelerating Goal-Conditioned RL Algorithms and Research M Bortkiewicz, W Pałucki, V Myers, T Dziarmaga, T Arczewski, Ł Kuciński, ... arXiv preprint arXiv:2408.11052, 2024 | | 2024 |
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 |