Scholar
Matthew Kyle Schlegel
Google Scholar ID: -iAxatcAAAAJ
University of Calgary
Citations & Impact
Citations
180
H-index
7
i10-index
6
Publications
19
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Offline Reinforcement Learning via Tsallis Regularization, Transactions on Machine Learning Research, 2024
- General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence, NeurIPS, 2023
- Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning, Transactions on Machine Learning Research, 2022
- General Value Function Networks, Journal of Artificial Intelligence Research, 2021
- Continual Auxiliary Task Learning, NeurIPS, 2021
Background
- Machine Learning and Reinforcement Learning researcher currently working on games
- Experienced in applying reinforcement learning, imitation learning, and traditional machine learning to diverse applications
- PhD work focused on how agents perceive their world
- Currently interested in rethinking industrial control problems using data-driven control algorithms
- Strongly believes reinforcement learning can solve hard control problems beyond the reach of traditional methods
