Murtaza Dalal

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Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Vitchyr H. PongOpenAIVerified email at eecs.berkeley.edu
Ashvin NairUC BerkeleyVerified email at berkeley.edu
Shikhar BahlCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Steven LinUniversity of California, BerkeleyVerified email at berkeley.edu
Shixiang Shane GuOpenAIVerified email at openai.com
Tuomas HaarnojaDeepMindVerified email at google.com
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Aurick ZhouWaymoVerified email at berkeley.edu
Abhishek GuptaUniversity of WashingtonVerified email at cs.washington.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Devendra Singh ChaplotCarnegie Mellon University, Facebook AI ResearchVerified email at fb.com
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
Daniel KapplerRoboticist, XVerified email at x.team
Mohi KhansariStaff Roboticist @ Google XVerified email at google.com
Avi SinghGoogle BrainVerified email at google.com
Deepak PathakAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Alexander C. LiPhD student, Carnegie Mellon UniversityVerified email at cmu.edu
Rohan TaoriCS PhD @ StanfordVerified email at stanford.edu

Murtaza Dalal

PhD Student at CMU

Verified email at andrew.cmu.edu - Homepage

Deep Reinforcement Learning Robotics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visual reinforcement learning with imagined goals AV Nair, V Pong, M Dalal, S Bahl, S Lin, S Levine Advances in neural information processing systems 31, 2018	411	2018
Temporal difference models: Model-free deep rl for model-based control V Pong, S Gu, M Dalal, S Levine arXiv preprint arXiv:1802.09081, 2018	227	2018
Composable deep reinforcement learning for robotic manipulation T Haarnoja, V Pong, A Zhou, M Dalal, P Abbeel, S Levine 2018 IEEE international conference on robotics and automation (ICRA), 6244-6251, 2018	205	2018
Awac: Accelerating online reinforcement learning with offline datasets A Nair, A Gupta, M Dalal, S Levine arXiv preprint arXiv:2006.09359, 2020	199	2020
Skew-fit: State-covering self-supervised reinforcement learning VH Pong, M Dalal, S Lin, A Nair, S Bahl, S Levine arXiv preprint arXiv:1903.03698, 2019	181	2019
Scalable multi-task imitation learning with autonomous improvement A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levinev, M Khansari, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 2167-2173, 2020	25	2020
Accelerating robotic reinforcement learning via parameterized action primitives M Dalal, D Pathak, RR Salakhutdinov Advances in Neural Information Processing Systems 34, 21847-21859, 2021	20	2021
Seal: Self-supervised embodied active learning using exploration and 3d consistency DS Chaplot, M Dalal, S Gupta, J Malik, RR Salakhutdinov Advances in neural information processing systems 34, 13086-13098, 2021	19	2021
Autoregressive models: What are they good for? M Dalal, AC Li, R Taori arXiv preprint arXiv:1910.07737, 2019	3	2019

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