Sotabase

Career

· Member Of Technical Staff, Synthefy2025–
· Doctor of Philosophy - PhD, Computer Science, The University of Texas at Austin2017–2024
· PHD Candidate, The University of Texas at Austin2017–2024
· Software Engineer And Data Scientist Intern, Centro2015–2016
· Research Assistant, University of California Berkeley Automation Sciences Lab2015–2017
· Software Engineer, Enlearn2014–2014
· Bachelor’s Degree, Electrical Engineering and Computer Science, 3.89, University of California, Berkeley2013–2017
· Bioengineering Lab Assistant, University of Washington2013–2013

Publications (16)

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
2016 IEEE International Conference on Automation Science and Engineering (CASE) · 2016
84
cited
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
IEEE International Conference on Robotics and Automation · 2016
78
cited
Statistical data cleaning for deep learning of automation tasks from demonstrations
CASE · 2017
16
cited
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
14
cited
Granger-Causal Hierarchical Skill Discovery
arXiv.org · 2023
11
cited
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Neural Information Processing Systems · 2024
10
cited
A Dual Approach to Imitation Learning from Observations with Offline Datasets
Conference on Robot Learning · 2024
8
cited
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
arXiv.org · 2024
5
cited
Gaze Supervision for Mitigating Causal Confusion in Driving Agents
2024 IEEE Intelligent Vehicles Symposium (IV) · 2024
4
cited
Granger Causal Interaction Skill Chains
Trans. Mach. Learn. Res. · 2023
4
cited
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
2024
4
cited
Automated Discovery of Functional Actual Causes in Complex Environments
arXiv.org · 2024
3
cited
Mitigating Causal Confusion in Driving Agents via Gaze Supervision
2022
3
cited
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
International Conference on Learning Representations · 2025
3
cited
Learning Action-based Representations Using Invariance
RLJ · 2024
2
cited
Survey of Rate Distortion and Information Bottleneck from the Perspective of Unsupervised Learning
2016
Sotabase
Caleb Chuck | Researcher Profile | Sotabase | Sotabase