Sotabase

Career

· Lecturer, UC Berkeley Electrical Engineering & Computer Sciences (EECS)2022–
· Senior Staff Research Scientist, Google DeepMind2019–
· Member Of Technical Staff, OpenAI2016–2019
· Postdoctoral Researcher, UC Berkeley Electrical Engineering & Computer Sciences (EECS)2015–2016
· Research Intern, Pixar Animation Studios2010–2010
· Doctor of Philosophy - PhD, Computer Science, University of Washington2010–2015
· Technical Director Intern, Pixar Animation Studios2008–2008
· Master of Science - MS, Computer Science, University of Toronto2008–2009
· Research Intern, Autodesk Research2006–2007
· Honours Bachelor of Science, Mathematics and Computer Science, University of Toronto2003–2008

Publications (85)

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Neural Information Processing Systems · 2017
5,392
cited
PaLM-E: An Embodied Multimodal Language Model
International Conference on Machine Learning · 2023
2,284
cited
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Conference on Robot Learning · 2023
2,268
cited
Decision Transformer: Reinforcement Learning via Sequence Modeling
Neural Information Processing Systems · 2021
2,039
cited
RT-1: Robotics Transformer for Real-World Control at Scale
Robotics: Science and Systems · 2022
1,789
cited
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
International Conference on Machine Learning · 2022
1,434
cited
Improving Factuality and Reasoning in Language Models through Multiagent Debate
International Conference on Machine Learning · 2023
1,259
cited
Inner Monologue: Embodied Reasoning through Planning with Language Models
Conference on Robot Learning · 2022
1,184
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Emergence of Grounded Compositional Language in Multi-Agent Populations
AAAI Conference on Artificial Intelligence · 2017
763
cited
Emergent Tool Use From Multi-Agent Autocurricula
International Conference on Learning Representations · 2019
731
cited
Learning with Opponent-Learning Awareness
Adaptive Agents and Multi-Agent Systems · 2017
582
cited
Implicit Behavioral Cloning
Conference on Robot Learning · 2021
548
cited
Emergent Complexity via Multi-Agent Competition
International Conference on Learning Representations · 2017
418
cited
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
International Conference on Learning Representations · 2017
370
cited
Pre-Trained Language Models for Interactive Decision-Making
Neural Information Processing Systems · 2022
308
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
arXiv.org · 2016
265
cited
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
International Conference on Learning Representations · 2018
257
cited
Multi-Game Decision Transformers
Neural Information Processing Systems · 2022
248
cited
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