MULTI-AGENT DETERMINANTAL Q-LEARNING

von Yang, Yaodong
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

MODELLING BEHAVIOURAL DIVERSITY FOR LEARNING IN OPEN-ENDED GAMES

von NIEVES, NICOLAS PEREZ
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

von Sootla, Aivar
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 35 of 33 (2023)

LEARNING IN NONZERO-SUM STOCHASTIC GAMES WITH POTENTIALS

von MGUNI, DAVID
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

Settling the Variance of Multi-Agent Policy Gradients

von Kuba, Jakub Grudzien
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)