Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. - Yaodong Yang 002; Jun Luo 009; Ying Wen 001; Oliver Slumbers; Daniel Graves; Haitham Bou-Ammar; Jun Wang 012; Matthew E. Taylor (AAMAS, 2021)

Modelling Behavioural Diversity for Learning in Open-Ended Games. - Nicolas Perez Nieves; Yaodong Yang 001; Oliver Slumbers; David Henry Mguni; Ying Wen 001; Jun Wang 012 (ICML, 2021)

Neural Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

Online Double Oracle. - Le Cong Dinh; Yaodong Yang 001; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2021)

Modelling Behavioural Diversity for Learning in Open-Ended Games. - Nicolas Perez Nieves; Yaodong Yang 001; Oliver Slumbers; David Henry Mguni; Jun Wang 012 (CoRR, 2021)

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Yaodong Yang 001; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012 (CoRR, 2021)

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. - Chenguang Wang 011; Yaodong Yang 001; Oliver Slumbers; Congying Han; Tiande Guo; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2021)

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. - David Henry Mguni; Taher Jafferjee; Jianhong Wang; Nicolas Perez Nieves; Oliver Slumbers; Feifei Tong; Yang Li 116; Jiangcheng Zhu; Yaodong Yang 001; Jun Wang 012 (ICLR, 2022)

Learning Risk-Averse Equilibria in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stephen McAleer; Jun Wang 012; Yaodong Yang 001 (CoRR, 2022)

Online Double Oracle. - Le Cong Dinh; Stephen Marcus McAleer; Zheng Tian 002; Nicolas Perez Nieves; Oliver Slumbers; David Henry Mguni; Jun Wang 012; Haitham Bou-Ammar; Yaodong Yang 001 (Trans. Mach. Learn. Res., 2022)

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. - David Henry Mguni; Aivar Sootla; Juliusz Ziomek; Oliver Slumbers; Zipeng Dai; Kun Shao; Jun Wang 012 (ICLR, 2023)

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. - Oliver Slumbers; David Henry Mguni; Stefano B. Blumberg; Stephen Marcus McAleer; Yaodong Yang 001; Jun Wang 012 (ICML, 2023)

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. - Lukas Schäfer 001; Oliver Slumbers; Stephen McAleer; Yali Du 001; Stefano V. Albrecht; David Mguni (AAMAS, 2025)

Using Large Language Models to Simulate Human Behavioural Experiments: Port of Mars. - Oliver Slumbers; Joel Z. Leibo; Marco A. Janssen (CoRR, 2025)