Efficient Model-Based Multi-Agent Reinforcement Learning Via Optimistic Equilibrium Computation

von Sessa, Pier Giuseppe
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

CONTEXTUAL GAMES: MULTI-AGENT LEARNING WITH SIDE INFORMATION

von Sessa, Pier Giuseppe
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 27 of 27 (2021)

ONLINE SUBMODULAR RESOURCE ALLOCATION WITH APPLICATIONS TO REBALANCING SHARED MOBILITY SYSTEMS

von SESSA, PIER GIUSEPPE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

NO-REGRET LEARNING IN UNKNOWN GAMES WITH CORRELATED PAYOFFS

von Sessa, Pier Giuseppe
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

Learning to Play Sequential Games versus Unknown Opponents

von Sessa, Pier Giuseppe
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems

von Ramesh, Shyam Sundhar
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)