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)}, } 2022 aicomms Deep Reinforcement Learning for Multi-Agent Interaction Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, and 14 more authors AI Communications, Special Issue on Multi-Agent Systems Research in the UK, 2022 arXiv Bib PDF @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}, }