Marvin Zhang - RankMe

20 papers A* 8A 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	MEMO: Test Time Robustness via Adaptation and Augmentation. NeurIPS Marvin Zhang, Sergey Levine, Chelsea Finn
2021	—	`—`	Adaptation Based Approaches to Distribution Shift Problems Marvin Zhang
2021	A*	`conf`	Adaptive Risk Minimization: Learning to Adapt to Domain Shift. NeurIPS Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn
2021	J	`jnl`	MEMO: Test Time Robustness via Adaptation and Augmentation. CoRR Marvin Zhang, Sergey Levine, Chelsea Finn
2021	A*	`conf`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 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
2020	—	`conf`	AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. Robotics: Science and Systems Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
2020	J	`jnl`	Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift. CoRR Marvin Zhang, Henrik Marklund, Abhishek Gupta, Sergey Levine, Chelsea Finn
2020	J	`jnl`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
2019	J	`jnl`	AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos. CoRR Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine
2019	A*	`conf`	SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. ICML Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine
2019	A*	`conf`	When to Trust Your Model: Model-Based Policy Optimization. NeurIPS Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine
2019	J	`jnl`	When to Trust Your Model: Model-Based Policy Optimization. CoRR Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine
2018	J	`jnl`	SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning. CoRR Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine
2017	A*	`conf`	Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. ICML Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine
2017	J	`jnl`	Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. CoRR Yevgen Chebotar, Karol Hausman, Marvin Zhang, Gaurav S. Sukhatme, Stefan Schaal, Sergey Levine
2017	A*	`conf`	Deep reinforcement learning for tensegrity robot locomotion. ICRA Marvin Zhang, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine
2016	J	`jnl`	Deep Reinforcement Learning for Tensegrity Robot Locomotion. CoRR Xinyang Geng, Marvin Zhang, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine
2016	A*	`conf`	Learning deep neural network policies with continuous memory states. ICRA Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel
2016	A	`conf`	Nifty Assignments. SIGCSE 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
2015	J	`jnl`	Policy Learning with Continuous Memory States for Partially Observed Robotic Control. CoRR Marvin Zhang, Sergey Levine, Zoe McCarthy, Chelsea Finn, Pieter Abbeel