| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks C Finn, P Abbeel, S Levine International Conference on Machine Learning (ICML), 2017 | 20776 | 2017 |
| Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor T Haarnoja, A Zhou, P Abbeel, S Levine International conference on machine learning, 1861-1870, 2018 | 17445 | 2018 |
| Trust region policy optimization J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel International Conference on Machine Learning (ICML 2015), 2015 | 12376 | 2015 |
| High-dimensional continuous control using generalized advantage estimation J Schulman, P Moritz, S Levine, M Jordan, P Abbeel International Conference on Learning Representations (ICLR 2016), 2015 | 6777 | 2015 |
| End-to-end training of deep visuomotor policies S Levine, C Finn, T Darrell, P Abbeel Journal of Machine Learning Research 17 (39), 1-40, 2016 | 5267 | 2016 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ... arXiv preprint arXiv:2307.15818, 2023 | 5216 | 2023 |
| Soft actor-critic algorithms and applications T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ... arXiv preprint arXiv:1812.05905, 2018 | 4980 | 2018 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 4113 | 2023 |
| Openvla: An open-source vision-language-action model MJ Kim, K Pertsch, S Karamcheti, T Xiao, A Balakrishna, S Nair, ... arXiv preprint arXiv:2406.09246, 2024 | 3852 | 2024 |
| Conservative q-learning for offline reinforcement learning A Kumar, A Zhou, G Tucker, S Levine Advances in neural information processing systems 33, 1179-1191, 2020 | 3779 | 2020 |
| Do as i can, not as i say: Grounding language in robotic affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ... arXiv preprint arXiv:2204.01691, 2022 | 3708 | 2022 |
| Offline reinforcement learning: Tutorial, review, and perspectives on open problems S Levine, A Kumar, G Tucker, J Fu arXiv preprint arXiv:2005.01643, 2020 | 3613 | 2020 |
| Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection S Levine, P Pastor, A Krizhevsky, J Ibarz, D Quillen The International Journal of Robotics Research 37 (4-5), 421-436, 2018 | 3348 | 2018 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 3242 | 2022 |
| : A Vision-Language-Action Flow Model for General Robot Control K Black, N Brown, D Driess, A Esmail, M Equi, C Finn, N Fusai, L Groom, ... arXiv preprint arXiv:2410.24164, 2024 | 3086 | 2024 |
| Wilds: A benchmark of in-the-wild distribution shifts PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ... International conference on machine learning, 5637-5664, 2021 | 2623 | 2021 |
| Learning fine-grained bimanual manipulation with low-cost hardware TZ Zhao, V Kumar, S Levine, C Finn arXiv preprint arXiv:2304.13705, 2023 | 2556 | 2023 |
| Gradient surgery for multi-task learning T Yu, S Kumar, A Gupta, S Levine, K Hausman, C Finn Advances in neural information processing systems 33, 5824-5836, 2020 | 2541 | 2020 |
| Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates S Gu, E Holly, T Lillicrap, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 3389-3396, 2017 | 2518 | 2017 |
| Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... Conference on robot learning, 651-673, 2018 | 2353 | 2018 |
Chelsea FinnStanford University, Physical Intelligence確認したメール アドレス: cs.stanford.edu
Pieter AbbeelUC Berkeley | Amazon FAR確認したメール アドレス: cs.berkeley.edu
Aviral KumarCarnegie Mellon University確認したメール アドレス: andrew.cmu.edu
Abhishek GuptaUniversity of Washington確認したメール アドレス: cs.washington.edu
Karol HausmanPhysical Intelligence (Pi)確認したメール アドレス: physicalintelligence.company
Benjamin EysenbachPrinceton University確認したメール アドレス: princeton.edu
Quan VuongPhysical Intelligence確認したメール アドレス: ucsd.edu
George TuckerGoogle DeepMind確認したメール アドレス: google.com
Aurick ZhouGoogle DeepMind確認したメール アドレス: berkeley.edu
Yevgen ChebotarRobotic Foundation Models確認したメール アドレス: nvidia.com
Shixiang Shane GuGoogle DeepMind確認したメール アドレス: google.com
Tuomas HaarnojaDeepMind確認したメール アドレス: google.com
Dhruv ShahPrinceton University, Google DeepMind確認したメール アドレス: princeton.edu
Julian IbarzTesla Inc.確認したメール アドレス: tesla.com
Xue Bin PengAssistant Professor at Simon Fraser University, Research Scientist at NVIDIA確認したメール アドレス: sfu.ca
Dibya GhoshUC Berkeley確認したメール アドレス: berkeley.edu
Ashvin NairOpenAI確認したメール アドレス: berkeley.edu
Trevor DarrellProfessor of Computer Science, U.C. Berkeley確認したメール アドレス: eecs.berkeley.edu