publications

2024

1. RLC

   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

   arXiv Bib

   @inproceedings{ptgood,
     title = {Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning},
     author = {McInroe, Trevor and Jelley, Adam and Albrecht, Stefano V. and Storkey, Amos},
     booktitle = {Reinforcement Learning Conference (RLC)},
     year = {2024},
   }

2. Workshop

   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

   arXiv Bib

   @inproceedings{criticiscritical,
     title = {Efficient Offline Reinforcement Learning: The Critic is Critical},
     author = {Jelley, Adam and McInroe, Trevor and Devlin, Sam and Storkey, Amos},
     booktitle = {Workshop on Aligning Reinforcement Learning Experimentalists and Theorists},
     year = {2024},
   }

2023

1. TMLR

   Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

   Trevor McInroe, Lukas Schäfer, and Stefano V. Albrecht

   Transactions on Machine Learning Research, 2023

   arXiv Bib PDF

   @article{hksl,
     title = {Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning},
     author = {McInroe, Trevor and Schäfer, Lukas and Albrecht, Stefano V.},
     journal = {Transactions on Machine Learning Research},
     year = {2023},
   }

2. NeurIPS Spotlight

   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

   arXiv Bib 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},
   }

3. ICLR

   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

   arXiv Bib 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)},
   }

2022

1. aicomms

   Deep Reinforcement Learning for Multi-Agent Interaction

   Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, and Stefano V. Albrecht

   AI Communications, Special Issue on Multi-Agent Systems Research in the UK, 2022

   arXiv Bib

   @article{drl4mai,
     title = {Deep Reinforcement Learning for Multi-Agent Interaction},
     author = {Ahmed, Ibrahim H. and Brewitt, Cillian and Carlucho, Ignacio and Christianos, Filippos and Dunion, Mhairi and Fosong, Elliot and Garcin, Samuel and Guo, Shangmin and Gyevnar, Balint and McInroe, Trevor and Papoudakis, Georgios and Rahman, Arrasy and Schäfer, Lukas and Tamborski, Massimiliano and Vecchio, Giuseppe and Wang, Cheng and Albrecht, Stefano V.},
     journal = {AI Communications, Special Issue on Multi-Agent Systems Research in the UK},
     year = {2022},
   }