Modelling behavioural diversity for learning in open-ended games O Slumbers, N Perez-Nieves, Y Yang, DH Mguni, Y Wen, J Wang ICML 2021, Long Oral, 8514-8524, 2021 | 59* | 2021 |
Neural auto-curricula in two-player zero-sum games O Slumbers, X Feng, Z Wan, B Liu, S McAleer, Y Wen, J Wang, Y Yang NeurIPS 2021 34, 3504-3517, 2021 | 46* | 2021 |
Diverse auto-curriculum is critical for successful real-world multiagent learning systems Y Yang, J Luo, Y Wen, O Slumbers, D Graves, HB Ammar, J Wang, ... AAMAS 2021 (Best Blue Sky Paper Award), 2021 | 36 | 2021 |
Online double oracle YY Le Cong Dinh, Z Tian, NP Nieves, O Slumbers, DH Mguni, HB Ammar, ... Transactions on Machine Learning Research, 2021 | 28* | 2021 |
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning DH Mguni, T Jafferjee, J Wang, N Perez-Nieves, O Slumbers, F Tong, Y Li, ... ICLR 2022, 2021 | 17 | 2021 |
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers C Wang, Y Yang, O Slumbers, C Han, T Guo, H Zhang, J Wang ICLR 2022 Workshop: Gamification and Multiagent Solutions (Spotlight), 2021 | 13 | 2021 |
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems O Slumbers, DH Mguni, SM McAleer, SB Blumberg, J Wang, Y Yang ICML 2023, 2023 | 11* | 2023 |
Ensemble value functions for efficient exploration in multi-agent reinforcement learning L Schäfer, O Slumbers, S McAleer, Y Du, SV Albrecht, D Mguni arXiv preprint arXiv:2302.03439, 2023 | 6 | 2023 |
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints D Mguni, A Sootla, J Ziomek, O Slumbers, Z Dai, K Shao, J Wang ICLR 2023, 2022 | 5 | 2022 |
Autonomous Agents Research Group S Albrecht, F Christianos, L Schäfer, T McInroe, M Dunion, A Jelley, ... | | 2020 |