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Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment


Nov 15, 2022
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu

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Learning and Retrieval from Prior Data for Skill-based Imitation Learning


Oct 20, 2022
Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu

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* Conference on Robot Learning (CoRL), 2022 

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Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks


Oct 07, 2021
Soroush Nasiriany, Huihan Liu, Yuke Zhu

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What Matters in Learning from Offline Human Demonstrations for Robot Manipulation


Aug 06, 2021
Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

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DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies


Apr 23, 2021
Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

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* ICRA 2021 

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Planning with Goal-Conditioned Policies


Nov 19, 2019
Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine

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* In Advances in Neural Information Processing Systems, 2019 

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