| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1318 | 2024 |
| Trajectory diversity for zero-shot coordination A Lupu, B Cui, H Hu, J Foerster International conference on machine learning, 7204-7213, 2021 | 108 | 2021 |
| Gifting in multi-agent reinforcement learning A Lupu, D Precup Proceedings of the 19th International Conference on autonomous agents and …, 2020 | 57 | 2020 |
| Option-critic in cooperative multi-agent systems J Chakravorty, N Ward, J Roy, M Chevalier-Boisvert, S Basu, A Lupu, ... arXiv preprint arXiv:1911.12825, 2019 | 37 | 2019 |
| Jaxmarl: Multi-agent rl environments and algorithms in jax A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 36* | 2024 |
| Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts M Samvelyan*, SC Raparthy*, A Lupu*, E Hambro, AH Markosyan, ... arXiv preprint arXiv:2402.16822, 2024 | 29 | 2024 |
| Adversarial Diversity in Hanabi B Cui*, A Lupu*, S Sokota, H Hu, DJ Wu, JN Foerster The Eleventh International Conference on Learning Representations, 2022 | 17 | 2022 |
| Grounding aleatoric uncertainty for unsupervised environment design M Jiang, M Dennis, J Parker-Holder, A Lupu, H Küttler, E Grefenstette, ... Advances in Neural Information Processing Systems 35, 32868-32881, 2022 | 16 | 2022 |
| Leveraging Observations in Bandits: Between Risks and Benefits A Lupu, A Durand, D Precup | 6 | 2019 |
| Behaviour distillation A Lupu, C Lu, J Liesen, RT Lange, J Foerster arXiv preprint arXiv:2406.15042, 2024 | 3 | 2024 |
| Imitation upper confidence bound for bandits on a graph A Lupu, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 3 | 2018 |
| Discovering Minimal Reinforcement Learning Environments J Liesen, C Lu, A Lupu, JN Foerster, H Sprekeler, RT Lange arXiv preprint arXiv:2406.12589, 2024 | 1 | 2024 |
| Self-explaining deviations for coordination H Hu, S Sokota, D Wu, A Bakhtin, A Lupu, B Cui, J Foerster Advances in Neural Information Processing Systems 35, 38400-38410, 2022 | 1 | 2022 |
| Off-Team Learning B Cui, H Hu, A Lupu, S Sokota, JN Foerster Advances in Neural Information Processing Systems, 2022 | 1 | 2022 |
| Gifting in Multi-Agent Reinforcement Learning (Student Abstract) A Lupu, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13871 …, 2020 | 1 | 2020 |
| Les réseaux de Bragg dans des nanofils de silicium... et dans la salle de cours A Lupu, R Adams, R Ashrafi, LR Chen Vanier College, 2016 | 1 | 2016 |
| CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants L Alberts, B Ellis, A Lupu, J Foerster arXiv preprint arXiv:2410.21159, 2024 | | 2024 |
| Leveraging Observational Learning for Exploration in Bandits A Lupu, A Durand, D Precup Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | | 2018 |
| Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps B Ellis, MT Jackson, A Lupu, AD Goldie, M Fellows, S Whiteson, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| Leveraging Observational Learning for Exploration in Bandits A Durand, A Lupu, D Precup | | |
Jakob FoersterAssociate Professor, University of OxfordGeverifieerd e-mailadres voor eng.ox.ac.uk
