Murtaza Dalal

Hi! I am a Robotics PhD Student in the Robotics Institute at Carnegie Mellon University. I am advised by Professor Ruslan Salakhutdinov and I also work closely with Professor Deepak Pathak. My research work is supported by the National Science Foundation Graduate Research Fellowship.

Previously, I was an undergraduate student at UC Berkeley where I received my BS in Electrical Engineering and Computer Science. I was an undergraduate researcher in Berkeley Artificial Intelligence and Research, working with Professor Sergey Levine, Vitchyr Pong and Ashvin Nair on deep reinforcement learning and robotics research. I also interned at (Google) X Robotics where I worked with Daniel Kappler.

Feel free to contact me via email! You can reach me at mdalal -at- andrew dot cmu dot edu

| CV | Google Scholar |
| LinkedIn | Github |
| Twitter |


I am interested in developing intelligent, efficient, adaptable robotics systems by leveraging techniques from deep reinforcement learning, machine learning, optimization, control and computer vision.


Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine
Advances in Neural Information Processing Systems (NeurIPS), 2020, in submission
[arXiv] [site] [code] [blog]


Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong*, Murtaza Dalal*, Steven Lin*, Ashvin Nair, Shikhar Bahl, Sergey Levine
International Conference on Machine Learning (ICML), 2020
[arXiv] [site] [code]


Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
International Conference on Robotics and Automation (ICRA), 2020.
[arXiv] [site] [video]


Visual Reinforcement Learning with Imagined Goals
Ashvin Nair*, Vitchyr H. Pong*, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
Advances in Neural Information Processing Systems (NeurIPS), 2018 (Spotlight Presentation)
[arXiv] [site] [code] [blog]


Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja*, Vitchyr H. Pong, Aurick Zhou, Murtaza Dalal, PieterAbbeel, Sergey Levine
International Conference on Robotics and Automation (ICRA), 2018.
[arXiv] [site] [code]


Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr H. Pong*, Shixiang Gu*, Murtaza Dalal, Sergey Levine
International Conference on Learning Representations (ICLR), 2018.
[arXiv] [code] [blog]


CS188 - Spring 2019 (uGSI)

Credit to this great repo for providing the source code for the website!