Aurick Zhou
Google (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning, Autonomous Vehicle Technology and Safety, Machine Learning and Data Classification, Data Visualization and Analytics
Most-Cited Works
- → Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor(2018)3,481 cited
- → Soft Actor-Critic Algorithms and Applications(2018)1,935 cited
- → Conservative Q-Learning for Offline Reinforcement Learning(2020)535 cited
- → Learning to Walk Via Deep Reinforcement Learning(2019)432 cited
- → Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables(2019)227 cited
- → Wayformer: Motion Forecasting via Simple & Efficient Attention Networks(2023)207 cited
- → MotionLM: Multi-Agent Motion Forecasting as Language Modeling(2023)75 cited