Trevor McInroe

I am a 2nd year PhD student at The University of Edinburgh in the Bayesian and Neural Systems group advised by Amos Storkey.

My goal is to bring reinforcement learning agents to the real world.

Prior to my PhD, I worked for five years in industry on problems like vision for autonomous vehicles at Toyota Connected and completed my master’s at Northwestern University.

selected publications

2023

arXiv

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning

Trevor McInroe, Stefano V. Albrecht, and Amos Storkey

2023

arXiv PDF

NeurIPS Spotlight

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, and 2 more authors

In Conference on Neural Information Processing Systems (NeurIPS), 2023

arXiv Bib PDF Code

@inproceedings{cmid,
  title = {Conditional Mutual Information for Disentangled Representations in Reinforcement Learning},
  author = {Dunion, Mhairi and McInroe, Trevor and Luck, Kevin Sebastian and Hanna, Josiah and Albrecht, Stefano V.},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2023},
}

ICLR

Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning

Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, and 2 more authors

In International Conference on Learning Representations (ICLR), 2023

arXiv Bib PDF Code

@inproceedings{ted,
  title = {Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning},
  author = {Dunion, Mhairi and McInroe, Trevor and Luck, Kevin Sebastian and Hanna, Josiah P. and Albrecht, Stefano V.},
  year = {2023},
  booktitle = {International Conference on Learning Representations (ICLR)},
}