Murtaza Dalal

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Temporal Difference

Reinforcement Learning

Top Venues

Publications

Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks. CoRR (2024)
Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks. ICLR (2024)
Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox
Imitating Task and Motion Planning with Visuomotor Transformers. CoRL (2023)
Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox
Imitating Task and Motion Planning with Visuomotor Transformers. CoRR (2023)
Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. NeurIPS (2021)
Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. CoRR (2021)
Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives. CoRR (2021)
Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives. NeurIPS (2021)
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine
Accelerating Online Reinforcement Learning with Offline Datasets. CoRR (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. CoRR (2020)
Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. ICML (2020)
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
Scalable Multi-Task Imitation Learning with Autonomous Improvement. ICRA (2020)
Murtaza Dalal, Alexander C. Li, Rohan Taori
Autoregressive Models: What Are They Good For? CoRR (2019)
Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. CoRR (2019)
Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine
Composable Deep Reinforcement Learning for Robotic Manipulation. ICRA (2018)
Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
Visual Reinforcement Learning with Imagined Goals. NeurIPS (2018)
Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. CoRR (2018)
Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. ICLR (Poster) (2018)
Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
Visual Reinforcement Learning with Imagined Goals. CoRR (2018)
Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine
Composable Deep Reinforcement Learning for Robotic Manipulation. CoRR (2018)