Piliouras, Georgios

Multi-Agent Risks from Advanced AI

Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., et al. (2025) · arXiv

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 305

Cycles in adversarial regularized learning

Mertikopoulos, P., Papadimitriou, C., & Piliouras, G. (2018) · Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms

Game Theory and ApplicationsAdvanced Bandit Algorithms Research

Cited by 122

Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory

Leonardos, S., & Piliouras, G. (2022) · Artificial Intelligence

Reinforcement Learning in RoboticsGame Theory and Applications

Cited by 39

Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality

Leonardos, S., Piliouras, G., & Spendlove, K. (2021) · arXiv

Game Theory and ApplicationsReinforcement Learning in Robotics

Cited by 12

A theory of appropriateness with applications to generative artificial intelligence

Leibo, J. Z., Vezhnevets, A. S., Diaz, M., Agapiou, J. P., Cunningham, W. A., Sunehag, P., Haas, J., Koster, R., Duéñez-Guzmán, E. A., Isaac, W. S., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1

Agency Is Frame-Dependent

Abel, D., Barreto, A., Bowling, M., Dabney, W., Dong, S., Hansen, S., Harutyunyan, A., Khetarpal, K., Lyle, C., Pascanu, R., et al. (2025) · arXiv

Philosophy of Biology and Scientific ExplanationEmbodied and Extended Cognition

Cited by 0