Sotabase

Career

· Head of Large Language Model Efforts within AGI, Amazon2025–
· Amazon Scholar, Amazon2021–
· Co-Founder, President and Chief Scientist, Covariant2017–
· Advisor / Researcher, OpenAI2016–
· Research Scientist, OpenAI2016–
· Co-founder, Gradescope2014–2018
· Associate Professor, University of California, Berkeley2014–2017
· Assistant Professor, University of California, Berkeley2008–2017
· Professor, University of California, Berkeley2008–
· PhD in Computer Science, Stanford University2003–2008
· M.S. in Electrical Engineering, KU Leuven1995–2000

Publications (694)

Denoising Diffusion Probabilistic Models
Neural Information Processing Systems · 2020
26,640
cited
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
International Conference on Machine Learning · 2017
13,689
cited
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
International Conference on Machine Learning · 2018
10,308
cited
Trust Region Policy Optimization
International Conference on Machine Learning · 2015
7,583
cited
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Neural Information Processing Systems · 2017
5,392
cited
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Neural Information Processing Systems · 2016
4,432
cited
High-Dimensional Continuous Control Using Generalized Advantage Estimation
International Conference on Learning Representations · 2015
4,104
cited
End-to-End Training of Deep Visuomotor Policies
Journal of machine learning research · 2015
3,656
cited
Apprenticeship learning via inverse reinforcement learning
International Conference on Machine Learning · 2004
3,595
cited
Domain randomization for transferring deep neural networks from simulation to the real world
IEEE/RJS International Conference on Intelligent RObots and Systems · 2017
3,419
cited
Soft Actor-Critic Algorithms and Applications
arXiv.org · 2018
2,917
cited
Hindsight Experience Replay
Neural Information Processing Systems · 2017
2,578
cited
Decision Transformer: Reinforcement Learning via Sequence Modeling
Neural Information Processing Systems · 2021
2,039
cited
Benchmarking Deep Reinforcement Learning for Continuous Control
International Conference on Machine Learning · 2016
1,779
cited
Constrained Policy Optimization
International Conference on Machine Learning · 2017
1,614
cited
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
IEEE International Conference on Robotics and Automation · 2017
1,548
cited
Reinforcement Learning with Deep Energy-Based Policies
International Conference on Machine Learning · 2017
1,507
cited
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
International Conference on Machine Learning · 2022
1,434
cited
A Simple Neural Attentive Meta-Learner
International Conference on Learning Representations · 2017
1,367
cited
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
International Conference on Machine Learning · 2020
1,221
cited
Sotabase