Sotabase

Career

· PhD in Computer Science, Stanford University2022–
· Master of Science in Machine Learning, Carnegie Mellon University
· Software Engineer, Facebook AI

Publications (37)

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
arXiv.org · 2016
943
cited
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Science · 2022
476
cited
"Other-Play" for Zero-Shot Coordination
International Conference on Machine Learning · 2020
258
cited
Trajectory Diversity for Zero-Shot Coordination
Adaptive Agents and Multi-Agent Systems · 2021
149
cited
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
International Conference on Learning Representations · 2019
86
cited
Improving Policies via Search in Cooperative Partially Observable Games
AAAI Conference on Artificial Intelligence · 2019
84
cited
Language Instructed Reinforcement Learning for Human-AI Coordination
International Conference on Machine Learning · 2023
83
cited
Off-Belief Learning
International Conference on Machine Learning · 2021
82
cited
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Neural Information Processing Systems · 2019
71
cited
Imitation Bootstrapped Reinforcement Learning
Robotics: Science and Systems · 2023
48
cited
K-level Reasoning for Zero-Shot Coordination in Hanabi
Neural Information Processing Systems · 2022
40
cited
Polygames: Improved zero learning
ICGA Journal · 2020
34
cited
Adversarial Diversity in Hanabi
International Conference on Learning Representations · 2023
26
cited
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Neural Information Processing Systems · 2020
25
cited
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Neural Information Processing Systems · 2021
23
cited
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings
arXiv.org · 2021
21
cited
Toward Grounded Commonsense Reasoning
IEEE International Conference on Robotics and Automation · 2023
18
cited
Deep Restricted Boltzmann Networks
arXiv.org · 2016
15
cited
A Fine-Tuning Approach to Belief State Modeling
International Conference on Learning Representations · 2022
12
cited
Human-AI Coordination via Human-Regularized Search and Learning
arXiv.org · 2022
12
cited
Sotabase