Murtaza Dalal

According to our database, Murtaza Dalal authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Imitating Task and Motion Planning with Visuomotor Transformers.

Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox

Proceedings of the Conference on Robot Learning, 2023

2021

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives.

Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Accelerating Online Reinforcement Learning with Offline Datasets.

Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine

CoRR, 2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement.

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

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

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Autoregressive Models: What Are They Good For?

Murtaza Dalal, Alexander C. Li, Rohan Taori

CoRR, 2019

2018

Visual Reinforcement Learning with Imagined Goals.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Composable Deep Reinforcement Learning for Robotic Manipulation.

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

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine

Proceedings of the 6th International Conference on Learning Representations, 2018