Sotabase

Career

· Software Engineer, Google DeepMind2024–
· Senior Software Engineer, Waymo2021–2024
· Master of Science, University of California, Berkeley2019–2021
· Intern, Addepar2017–2017
· Research Assistant, Robotics and AI Lab (Berkeley AI Research)2017–2019
· Bachelor of Science, University of California, Berkeley2015–2019

Publications (12)

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
International Conference on Machine Learning · 2018
10,308
cited
Soft Actor-Critic Algorithms and Applications
arXiv.org · 2018
2,917
cited
Conservative Q-Learning for Offline Reinforcement Learning
Neural Information Processing Systems · 2020
2,259
cited
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
International Conference on Machine Learning · 2019
752
cited
Learning to Walk via Deep Reinforcement Learning
Robotics: Science and Systems · 2018
480
cited
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
IEEE International Conference on Robotics and Automation · 2022
356
cited
Composable Deep Reinforcement Learning for Robotic Manipulation
IEEE International Conference on Robotics and Automation · 2018
244
cited
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
International Conference on Machine Learning · 2021
35
cited
Bayesian Adaptation for Covariate Shift
Neural Information Processing Systems · 2021
31
cited
Training on Test Data with Bayesian Adaptation for Covariate Shift
arXiv.org · 2021
13
cited
Amortized Conditional Normalized Maximum Likelihood
International Conference on Machine Learning · 2020
12
cited
Sotabase
Aurick Zhou | Researcher Profile | Sotabase | Sotabase