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Ashvin Nair
Tytuł
Cytowane przez
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Overcoming exploration in reinforcement learning with demonstrations
A Nair, B McGrew, M Andrychowicz, W Zaremba, P Abbeel
IEEE International Conference on Robotics and Automation, 2017
8222017
GPT-4 technical report
OpenAI
arXiv, 2023
673*2023
Learning to poke by poking: Experiential learning of intuitive physics
P Agrawal, A Nair, P Abbeel, J Malik, S Levine
Advances in Neural Information Processing Systems, 2016
5722016
Visual reinforcement learning with imagined goals
A Nair, V Pong, M Dalal, S Bahl, S Lin, S Levine
Advances in Neural Information Processing Systems, 2018
5482018
Offline reinforcement learning with implicit q-learning
I Kostrikov, A Nair, S Levine
International Conference on Learning Representations, 2021, 2021
4692021
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
A Nair, A Gupta, M Dalal, S Levine
4252020
Residual reinforcement learning for robot control
T Johannink, S Bahl, A Nair, J Luo, A Kumar, M Loskyll, JA Ojea, ...
IEEE Conference on Robotics and Automation, 2018
3922018
Combining self-supervised learning and imitation for vision-based rope manipulation
A Nair, D Chen, P Agrawal, P Isola, P Abbeel, J Malik, S Levine
IEEE International Conference on Robotics and Automation, 2017
3112017
Skew-fit: State-covering self-supervised reinforcement learning
VH Pong, M Dalal, S Lin, A Nair, S Bahl, S Levine
International Conference on Machine Learning, 2019
2512019
Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards
G Schoettler, A Nair, J Luo, S Bahl, JA Ojea, E Solowjow, S Levine
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
1742019
Contextual imagined goals for self-supervised robotic learning
A Nair, S Bahl, A Khazatsky, V Pong, G Berseth, S Levine
Conference on Robot Learning, 2019
802019
Meta-reinforcement learning for robotic industrial insertion tasks
G Schoettler, A Nair, JA Ojea, S Levine, E Solowjow
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
672020
Offline meta-reinforcement learning with online self-supervision
VH Pong, AV Nair, LM Smith, C Huang, S Levine
International Conference on Machine Learning, 17811-17829, 2022
532022
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
A Khazatsky, A Nair, D Jing, S Levine
IEEE Interational Conference on Robotics and Automation, 2021
312021
Bisimulation makes analogies in goal-conditioned reinforcement learning
P Hansen-Estruch, A Zhang, A Nair, P Yin, S Levine
International Conference on Machine Learning, 8407-8426, 2022
222022
Disco rl: Distribution-conditioned reinforcement learning for general-purpose policies
S Nasiriany, VH Pong, A Nair, A Khazatsky, G Berseth, S Levine
2021 IEEE International Conference on Robotics and Automation (ICRA), 6635-6641, 2021
182021
Generalization with lossy affordances: Leveraging broad offline data for learning visuomotor tasks
K Fang, P Yin, A Nair, HR Walke, G Yan, S Levine
Conference on Robot Learning, 106-117, 2023
122023
Planning to practice: Efficient online fine-tuning by composing goals in latent space
K Fang, P Yin, A Nair, S Levine
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
122022
Learning on the job: self-rewarding offline-to-online finetuning for industrial insertion of novel connectors from vision
A Nair, B Zhu, G Narayanan, E Solowjow, S Levine
2023 IEEE International Conference on Robotics and Automation (ICRA), 7154-7161, 2023
62023
EE 126 Probability and Random Processes: Course Syllabus
K Chandrasekher, A Nair
University of California, Berkeley, 2016
2016
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Prace 1–20