Marvin Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2016–2021
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ICML | WILDS: A Benchmark of in-the-Wild Distribution Shifts. | Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang |
| 2019 | ICML | SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. | Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine |
| 2017 | ICML | Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. | Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine |
| 2017 | ICRA | Deep reinforcement learning for tensegrity robot locomotion. | Marvin Zhang, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine |
| 2016 | ICRA | Learning deep neural network policies with continuous memory states. | Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel |
| 2016 | SIGCSE | Nifty Assignments. | Nick Parlante, Julie Zelenski, Baker Franke, Arvind Bhusnurmath, Karen Her, Kristen Gee, Eric D. Manley, Timothy Urness, Marvin Zhang, Brian Hou, John DeNero, Josh Hug, Kevin Wayne |