Charlie Stinson
PhD Researcher
Autonomous Agents and Robotics Research Group
UNSW Sydney, Australia
Address
School of Computer Science and Engineering
Ainsworth Building (J17) - Room 510
Kensington Campus
UNSW Sydney
NSW 2052, Australia
Contact
Email: charles.stinson@unsw.edu.au
Research interests
- Reinforcement Learning
- Neural Networks / Deep Learning
Short bio:
My background is in mathematics, where I completed a bachelor’s degree majoring in pure mathematics, followed by an honours year in applied mathematics, and a master’s degree in statistics.
Currently, I work on ensemble reinforcement learning.
My research focuses on combining multiple reinforcement learning agents and developing methods to adapt their contributions during training.
In particular, I am interested in online settings, where models update continuously, and in approaches for weighting different learners based on their performance over time, especially in non-stationary or partially observable environments.
| Selected Publications |
Web |
| Stinson, C., Vamplew, P., Dazeley, R., Sandoval, E., & Cruz, F. (2026, June). Trajectory-Guided Weight Adaptation for Ensemble Reinforcement Learning. In press The International Joint Conference on Neural Networks (IJCNN).
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