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SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency


Dec 02, 2021
Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov

* Published at NeurIPS 2021. See project webpage at https://devendrachaplot.github.io/projects/seal 

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Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives


Oct 28, 2021
Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

* Published at NeurIPS 2021. Website at https://mihdalal.github.io/raps/ 

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Accelerating Online Reinforcement Learning with Offline Datasets


Jun 16, 2020
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine

* 16 pages. Website: https://awacrl.github.io/ 

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Scalable Multi-Task Imitation Learning with Autonomous Improvement


Feb 25, 2020
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn

* Accepted to ICRA 2020. Supplementary material at https://sites.google.com/view/scalable-mili 

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Autoregressive Models: What Are They Good For?


Oct 17, 2019
Murtaza Dalal, Alexander C. Li, Rohan Taori

* Accepted for the Information Theory and Machine Learning workshop at NeurIPS 2019 

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Skew-Fit: State-Covering Self-Supervised Reinforcement Learning


Mar 08, 2019
Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

* 9.5 pages, 8 figures 

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Visual Reinforcement Learning with Imagined Goals


Dec 04, 2018
Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

* 15 pages, NeurIPS 2018 

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Composable Deep Reinforcement Learning for Robotic Manipulation


Mar 19, 2018
Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine

* Videos: https://sites.google.com/view/composing-real-world-policies/ 

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Temporal Difference Models: Model-Free Deep RL for Model-Based Control


Feb 25, 2018
Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine

* To appear in ICLR 2018 

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