Trevor McInroe

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

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

2024

  1. Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
    Trevor McInroe, Adam Jelley, Stefano V. Albrecht, and Amos Storkey
    In Reinforcement Learning Conference (RLC), 2024
  2. Efficient Offline Reinforcement Learning: The Critic is Critical
    Adam Jelley, Trevor McInroe, Sam Devlin, and Amos Storkey
    In Workshop on Aligning Reinforcement Learning Experimentalists and Theorists, 2024

2023

  1. Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
    Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, and Stefano V. Albrecht
    In Conference on Neural Information Processing Systems (NeurIPS), 2023
  2. Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
    Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, and Stefano V. Albrecht
    In International Conference on Learning Representations (ICLR), 2023