Marvin Zhang

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Advanced Neural Network Applications, Robotic Path Planning Algorithms

Most-Cited Works

• → SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning(2018)130 cited
• → When to Trust Your Model: Model-Based Policy Optimization(2019)119 cited
• → Deep reinforcement learning for tensegrity robot locomotion(2017)92 cited
• → Learning deep neural network policies with continuous memory states(2016)90 cited
• → Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning(2017)86 cited
• → MEMO: Test Time Robustness via Adaptation and Augmentation(2021)85 cited
• → AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos(2020)31 cited
• Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Distribution Shift(2020)