| Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning A Nagabandi, G Kahn, RS Fearing, S Levine 2018 IEEE International Conference on Robotics and Automation (ICRA), 7559-7566, 2018 | 1462 | 2018 |
| Learning to adapt in dynamic, real-world environments through meta-reinforcement learning A Nagabandi, I Clavera, S Liu, RS Fearing, P Abbeel, S Levine, C Finn arXiv preprint arXiv:1803.11347, 2018 | 941* | 2018 |
| Deep dynamics models for learning dexterous manipulation A Nagabandi, K Konolige, S Levine, V Kumar Conference on robot learning, 1101-1112, 2020 | 557 | 2020 |
| Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model AX Lee, A Nagabandi, P Abbeel, S Levine arXiv preprint arXiv:1907.00953, 2019 | 518 | 2019 |
| Deep online learning via meta-learning: Continual adaptation for model-based RL A Nagabandi, C Finn, S Levine arXiv preprint arXiv:1812.07671, 2018 | 261 | 2018 |
| Expressive robot motion timing A Zhou, D Hadfield-Menell, A Nagabandi, AD Dragan Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot …, 2017 | 76 | 2017 |
| Model-based reinforcement learning via latent-space collocation O Rybkin, C Zhu, A Nagabandi, K Daniilidis, I Mordatch, S Levine International Conference on Machine Learning, 9190-9201, 2021 | 61 | 2021 |
| Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots A Nagabandi, G Yang, T Asmar, R Pandya, G Kahn, S Levine, RS Fearing 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 57* | 2018 |
| Meld: Meta-reinforcement learning from images via latent state models TZ Zhao, A Nagabandi, K Rakelly, C Finn, S Levine arXiv preprint arXiv:2010.13957, 2020 | 48 | 2020 |
| Steering Your Diffusion Policy with Latent Space Reinforcement Learning A Wagenmaker, M Nakamoto, Y Zhang, S Park, W Yagoub, A Nagabandi, ... arXiv preprint arXiv:2506.15799, 2025 | 24 | 2025 |
| Cooperative inchworm localization with a low cost team BE Nemsick, AD Buchan, A Nagabandi, RS Fearing, A Zakhor 2017 IEEE International Conference on Robotics and Automation (ICRA), 6323-6330, 2017 | 15 | 2017 |
| Trust during robot-assisted navigation E Mason, A Nagabandi, A Steinfeld, C Bruggeman 2013 AAAI Spring Symposium Series, 2013 | 9 | 2013 |
| Model-based Deep Reinforcement Learning for Robotic Systems A Nagabandi University of California, Berkeley, 2020 | 1 | 2020 |
| A path planning algorithm for single-ended continuous planar robotic ribbon folding A Nagabandi, L Wang, RS Fearing 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 1 | 2016 |
| Input-Convex Neural Networks and Posynomial Optimization S Kent, E Mazumdar, B EDU, A Nagabandi, K Rakelly | | 2016 |
| Monocular Multi-Robot Trajectory Control with RGB LEDs A Nagabandi, B Nemsick, J Yim | | |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
