Vezhnevets, Alexander Sasha

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Vinyals, O., Babuschkin, I., Czarnecki, W. M., Mathieu, M., Dudzik, A., Chung, J., Choi, D. H., Powell, R., Ewalds, T., Georgiev, P., et al. (2019) · Nature

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 3,455

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot

Leibo, J. Z., Duéñez-Guzmán, E., Vezhnevets, A. S., Agapiou, J. P., Sunehag, P., Koster, R., Matyas, J., Beattie, C., Mordatch, I., & Graepel, T. (2021) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 31

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia

Vezhnevets, A. S., Agapiou, J. P., Aharon, A., Ziv, R., Matyas, J., Duéñez-Guzmán, E. A., Cunningham, W. A., Osindero, S., Karmon, D., & Leibo, J. Z. (2023) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 15

Melting Pot 2.0

Agapiou, J. P., Vezhnevets, A. S., Duéñez-Guzmán, E. A., Matyas, J., Mao, Y., Sunehag, P., Köster, R., Madhushani, U., Kopparapu, K., Comanescu, R., et al. (2022) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 3

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings

Vinitsky, E., Köster, R., Agapiou, J. P., Duéñez-Guzmán, E., Vezhnevets, A. S., & Leibo, J. Z. (2021) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 2

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