Macfarlane, M., Toledo, E., Byrne, D. J., Duckworth, P., & Laterre, A. (2024). SPO: Sequential Monte Carlo Policy Optimisation. NeurIPS 2024.
@inproceedings{macfarlane2024spo,
title = {SPO: Sequential Monte Carlo Policy Optimisation},
author = {Macfarlane, Matthew and Toledo, Edan and Byrne, Donal John and Duckworth, Paul and Laterre, Alexandre},
booktitle = {NeurIPS 2024},
year = {2024},
firstauthor = {true}
}
Toledo, E., Macfarlane, M., Byrne, D. J., Singh, S., Duckworth, P., & Laterre, A. (2024). SMX: Sequential Monte Carlo Planning for Expert Iteration. ICML 2024 Workshop: Foundations of Reinforcement Learning and Control–Connections and Perspectives.
@inproceedings{toledo2024smx,
title = {SMX: Sequential Monte Carlo Planning for Expert Iteration},
author = {Toledo, Edan* and Macfarlane, Matthew* and Byrne, Donal John and Singh, Siddarth and Duckworth, Paul and Laterre, Alexandre},
booktitle = {ICML 2024 Workshop: Foundations of Reinforcement Learning and Control--Connections and Perspectives},
year = {2024},
firstauthor = {true}
}
2023
Bonnet, C., Luo, D., Byrne, D., Surana, S., Abramowitz, S., Duckworth, P., Coyette, V., Midgley, L. I., Tegegn, E., Kalloniatis, T., & others. (2023). Jumanji: a diverse suite of scalable reinforcement learning environments in jax. ArXiv Preprint ArXiv:2306.09884.
@article{bonnet2023jumanji,
title = {Jumanji: a diverse suite of scalable reinforcement learning environments in jax},
author = {Bonnet, Cl{\'e}ment and Luo, Daniel and Byrne, Donal and Surana, Shikha and Abramowitz, Sasha and Duckworth, Paul and Coyette, Vincent and Midgley, Laurence I and Tegegn, Elshadai and Kalloniatis, Tristan and others},
journal = {arXiv preprint arXiv:2306.09884},
year = {2023},
firstauthor = {false}
}
Hayes, C. F., Rădulescu, R., Bargiacchi, E., Kallstrom, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., & others. (2023). A Brief Guide to Multi-Objective Reinforcement Learning and Planning. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 1988–1990.
@inproceedings{hayes2023brief,
title = {A Brief Guide to Multi-Objective Reinforcement Learning and Planning},
author = {Hayes, Conor F and R{\u{a}}dulescu, Roxana and Bargiacchi, Eugenio and Kallstrom, Johan and Macfarlane, Matthew and Reymond, Mathieu and Verstraeten, Timothy and Zintgraf, Luisa M and Dazeley, Richard and Heintz, Fredrik and others},
booktitle = {Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
pages = {1988--1990},
year = {2023},
firstauthor = {false}
}
Mak, S., Pearce, T., Macfarlane, M., Xu, L., Ostroumov, M., & Brintrup, A. (2023). Cooperative Logistics: Can Artificial Intelligence Enable Trustworthy Cooperation at Scale? NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory to Deployment.
@inproceedings{mak2023cooperative,
title = {Cooperative Logistics: Can Artificial Intelligence Enable Trustworthy Cooperation at Scale?},
author = {Mak, Stephen and Pearce, Tim and Macfarlane, Matthew and Xu, Liming and Ostroumov, Michael and Brintrup, Alexandra},
booktitle = {NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory to Deployment},
year = {2023},
firstauthor = {false}
}
2022
Hayes, C. F., Rădulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L. M., Dazeley, R., Heintz, F., & others. (2022). A practical guide to multi-objective reinforcement learning and planning. Autonomous Agents and Multi-Agent Systems, 36(1), 26.
@article{hayes2022practical,
title = {A practical guide to multi-objective reinforcement learning and planning},
author = {Hayes, Conor F and R{\u{a}}dulescu, Roxana and Bargiacchi, Eugenio and K{\"a}llstr{\"o}m, Johan and Macfarlane, Matthew and Reymond, Mathieu and Verstraeten, Timothy and Zintgraf, Luisa M and Dazeley, Richard and Heintz, Fredrik and others},
journal = {Autonomous Agents and Multi-Agent Systems},
volume = {36},
number = {1},
pages = {26},
year = {2022},
publisher = {Springer},
firstauthor = {false}
}
Macfarlane, M., Roijers, D. M., & van Hoof, H. (2022). Training Graph Neural Networks with Policy Gradients to Perform Tree Search. Deep Reinforcement Learning Workshop NeurIPS 2022.
@inproceedings{macfarlane2022training,
title = {Training Graph Neural Networks with Policy Gradients to Perform Tree Search},
author = {Macfarlane, Matthew and Roijers, Diederik M and van Hoof, Herke},
booktitle = {Deep Reinforcement Learning Workshop NeurIPS 2022},
year = {2022},
firstauthor = {true}
}