Sotabase

Career

· Research Scientist, Edison Scientific2023–
· Intern, Redesign Science2022–2022
· PhD Student, Carnegie Mellon University2018–2025
· Research Intern, Carnegie Mellon University (Robotics Institute Summer Scholarship Program)2017–2018
· Research Assistant, University College Dublin2017–2018
· Graduate Student, University College Dublin2013–2018

Publications (6)

How Useful are Gradients for OOD Detection Really?
arXiv.org · 2022
28
cited
Multi-Agent Active Search: A Reinforcement Learning Approach
IEEE Robotics and Automation Letters · 2022
18
cited
Hierarchical Bayesian Framework for Bus Dwell Time Prediction
IEEE transactions on intelligent transportation systems (Print) · 2021
10
cited
Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2023
4
cited
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
International Conference on Machine Learning · 2023
2
cited
Multi-Armed Bandits with Delayed and Aggregated Rewards
2019
Sotabase
Conor Igoe | Researcher Profile | Sotabase | Sotabase