Sotabase

Career

· Senior Staff Scientist/Manager, Google2022–
· Senior Research Scientist, Amazon2020–2022
· Chief Scientist and SVP, Conversica
· Bachelor of Technology, Honors Computer Science and Engineering, Indian Institute of Technology, Kharagpur
· Lead Researcher, Jade Falcon IT
· Lead Researcher, Lnx Research
· Director, Mayo Clinic
· Principal Applied Scientist, Microsoft
· Assistant Professor / Adjunct Professor, Northwestern University
· PhD Student, UC Berkeley
· Former Lecturer, UC Berkeley School of Information
· Guest Faculty, University of California at Berkeley

Publications (25)

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
International Conference on Learning Representations · 2019
294
cited
Shared Autonomy via Deep Reinforcement Learning
Robotics: Science and Systems · 2018
201
cited
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Neural Information Processing Systems · 2018
109
cited
Learning Human Objectives by Evaluating Hypothetical Behavior
International Conference on Machine Learning · 2019
79
cited
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Knowledge Discovery and Data Mining · 2016
62
cited
SQIL: Imitation Learning via Regularized Behavioral Cloning
arXiv.org · 2019
55
cited
Accelerating Human Learning with Deep Reinforcement Learning
2017
50
cited
Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning
2022
44
cited
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
IEEE International Conference on Robotics and Automation · 2019
44
cited
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2022
19
cited
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
arXiv.org · 2016
19
cited
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation
ACM Conference on Learning @ Scale · 2016
18
cited
Assisted Perception: Optimizing Observations to Communicate State
Conference on Robot Learning · 2020
17
cited
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Neural Information Processing Systems · 2022
15
cited
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Neural Information Processing Systems · 2021
14
cited
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
International Conference on Learning Representations · 2022
10
cited
Learning Representations of Student Knowledge and Educational Content
2015
4
cited
A Queueing Network Model for Spaced Repetition
ACM Conference on Learning @ Scale · 2016
2
cited
What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning
2018
2
cited
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
1
cited
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Siddharth Reddy | Researcher Profile | Sotabase | Sotabase