Sotabase

Career

· Co-Founder, CEO, MyoLab.AI2023–
· Research Scientist, FAIR-MetaAI2020–2023
· Research Scientist, Google Brain2018–2019
· Research Scientist, OpenAI2017–2017
· Postdoctoral Researcher, University of California, Berkeley2017–2018
· Ph.D. in Computer Science and Engineering, University of Washington2013–2017
· Founding Member, Roboti LLC2012–2020
· M.S. in Computer Science and Engineering, University of Washington2010–2013
· M.S. in Mathematics and Computing, Indian Institute of Technology (IIT) Kharagpur2009–2010
· B.S. in Mathematics and Computing, Indian Institute of Technology (IIT) Kharagpur2005–2009

Publications (83)

Soft Actor-Critic Algorithms and Applications
arXiv.org · 2018
2,917
cited
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Robotics: Science and Systems · 2017
1,276
cited
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Robotics: Science and Systems · 2023
1,235
cited
R3M: A Universal Visual Representation for Robot Manipulation
Conference on Robot Learning · 2022
771
cited
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Conference on Robot Learning · 2019
516
cited
Learning Latent Plans from Play
Conference on Robot Learning · 2019
463
cited
Dynamics-Aware Unsupervised Discovery of Skills
International Conference on Learning Representations · 2019
460
cited
Deep Dynamics Models for Learning Dexterous Manipulation
Conference on Robot Learning · 2019
456
cited
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
International Conference on Learning Representations · 2022
393
cited
Optimal control with learned local models: Application to dexterous manipulation
IEEE International Conference on Robotics and Automation · 2016
248
cited
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
IEEE International Conference on Robotics and Automation · 2018
219
cited
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
IEEE International Conference on Robotics and Automation · 2023
199
cited
The Ingredients of Real-World Robotic Reinforcement Learning
International Conference on Learning Representations · 2020
195
cited
LIV: Language-Image Representations and Rewards for Robotic Control
International Conference on Machine Learning · 2023
184
cited
Visual dexterity: In-hand reorientation of novel and complex object shapes
Science Robotics · 2022
173
cited
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
International Conference on Learning Representations · 2018
165
cited
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Conference on Robot Learning · 2019
146
cited
A Game Theoretic Framework for Model Based Reinforcement Learning
International Conference on Machine Learning · 2020
136
cited
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control
Conference on Learning for Dynamics & Control · 2022
135
cited
Divide-and-Conquer Reinforcement Learning
International Conference on Learning Representations · 2017
131
cited
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