Sotabase

Career

· Research Scientist, DeepMind2019–
· PhD Student, UC Berkeley2019–

Publications (31)

Adversarial Attacks on Neural Network Policies
International Conference on Learning Representations · 2017
911
cited
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Science Robotics · 2023
230
cited
Enabling robots to communicate their objectives
Autonomous Robots · 2017
161
cited
Expressing Robot Incapability
IEEE/ACM International Conference on Human-Robot Interaction · 2018
132
cited
Establishing Appropriate Trust via Critical States
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
125
cited
Toward personalizing treatment for depression: predicting diagnosis and severity
J. Am. Medical Informatics Assoc. · 2014
103
cited
A Distributional View on Multi-Objective Policy Optimization
International Conference on Machine Learning · 2020
89
cited
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
arXiv.org · 2019
55
cited
NIFTY: a system for large scale information flow tracking and clustering
The Web Conference · 2013
49
cited
Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects
IEEE/RJS International Conference on Intelligent RObots and Systems · 2015
44
cited
Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2014
33
cited
A Constrained Multi-Objective Reinforcement Learning Framework
Conference on Robot Learning · 2021
30
cited
Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
arXiv.org · 2025
21
cited
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning
arXiv.org · 2021
20
cited
Towards Understanding How Machines Can Learn Causal Overhypotheses
Annual Meeting of the Cognitive Science Society · 2022
19
cited
Coherent Soft Imitation Learning
Neural Information Processing Systems · 2023
17
cited
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
arXiv.org · 2020
17
cited
Nonverbal Robot Feedback for Human Teachers
Conference on Robot Learning · 2019
16
cited
Learning Causal Overhypotheses through Exploration in Children and Computational Models
CLEaR · 2022
11
cited
Human-AI Learning Performance in Multi-Armed Bandits
AAAI/ACM Conference on AI, Ethics, and Society · 2018
9
cited
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Sandy Huang | Researcher Profile | Sotabase | Sotabase