Research output per year
Research output per year
Personal profile
Research interests
My PhD research is in reinforcement learning applied to scenarios in the energy industry. By addressing challenges of deploying real-world autonomous agents such as reward function formulation, learning from static datasets in an offline setting and satisfying safety constraints, I hope to make progress towards the adoption of RL in industry.
Education/Academic qualification
University of Birmingham
Sep 2013 → Jul 2018
External positions
Control and Instrument Engineer, Phillips 66
Sep 2018 → Aug 2019
Process Engineer, The Dow Chemical Company
Jun 2016 → Jul 2017
Keywords
- Machine Learning
- Reinforcement Learning
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Dive into the research topics where Stefan Radic Webster is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 1 Preprint
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Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning
Webster, S. R. & Flach, P., 9 Nov 2021, (Unpublished).Research output: Working paper › Preprint
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