Abhishek Gupta
Cited by
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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
Diversity is all you need: Learning skills without a reward function
B Eysenbach, A Gupta, J Ibarz, S Levine
arXiv preprint arXiv:1802.06070, 2018
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
A Rajeswaran, V Kumar, A Gupta, G Vezzani, J Schulman, E Todorov, ...
arXiv preprint arXiv:1709.10087, 2017
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
Awac: Accelerating online reinforcement learning with offline datasets
A Nair, A Gupta, M Dalal, S Levine
arXiv preprint arXiv:2006.09359, 2020
Learning modular neural network policies for multi-task and multi-robot transfer
C Devin, A Gupta, T Darrell, P Abbeel, S Levine
2017 IEEE international conference on robotics and automation (ICRA), 2169-2176, 2017
Meta-reinforcement learning of structured exploration strategies
A Gupta, R Mendonca, YX Liu, P Abbeel, S Levine
Advances in neural information processing systems 31, 2018
Imitation from observation: Learning to imitate behaviors from raw video via context translation
YX Liu, A Gupta, P Abbeel, S Levine
2018 IEEE international conference on robotics and automation (ICRA), 1118-1125, 2018
Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning
A Gupta, V Kumar, C Lynch, S Levine, K Hausman
arXiv preprint arXiv:1910.11956, 2019
Learning invariant feature spaces to transfer skills with reinforcement learning
A Gupta, C Devin, YX Liu, P Abbeel, S Levine
arXiv preprint arXiv:1703.02949, 2017
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
H Zhu, A Gupta, A Rajeswaran, S Levine, V Kumar
International Conference on Robotics and Automation (ICRA) 2019, 2019
Learning dexterous manipulation for a soft robotic hand from human demonstrations
A Gupta, C Eppner, S Levine, P Abbeel
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Learning to reach goals via iterated supervised learning
D Ghosh, A Gupta, A Reddy, J Fu, C Devin, B Eysenbach, S Levine
arXiv preprint arXiv:1912.06088, 2019
The ingredients of real-world robotic reinforcement learning
H Zhu, J Yu, A Gupta, D Shah, K Hartikainen, A Singh, V Kumar, S Levine
arXiv preprint arXiv:2004.12570, 2020
Self-consistent trajectory autoencoder: Hierarchical reinforcement learning with trajectory embeddings
J Co-Reyes, YX Liu, A Gupta, B Eysenbach, P Abbeel, S Levine
International conference on machine learning, 1009-1018, 2018
Learning force-based manipulation of deformable objects from multiple demonstrations
AX Lee, H Lu, A Gupta, S Levine, P Abbeel
2015 IEEE International Conference on Robotics and Automation (ICRA), 177-184, 2015
Unsupervised meta-learning for reinforcement learning
A Gupta, B Eysenbach, C Finn, S Levine
arXiv preprint arXiv:1806.04640, 2018
Learning actionable representations with goal-conditioned policies
D Ghosh, A Gupta, S Levine
arXiv preprint arXiv:1811.07819, 2018
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
Robel: Robotics benchmarks for learning with low-cost robots
M Ahn, H Zhu, K Hartikainen, H Ponte, A Gupta, S Levine, V Kumar
Conference on robot learning, 1300-1313, 2020
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