Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

von Liu, Weiwen
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems

von Wang, Yuening
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 4, part 2 of 2 (2023)

Learning to Build High-Fidelity and Robust Environment Models

von Zhang, Weinan
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 1: Research Track (2021)

On Effective Scheduling of Model-based Reinforcement Learning

von Lai, Hang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling

von Wang, Jing
Veröffentlicht in PAKDD (27. : 2023 : Osaka; Online) Advances in Knowledge Discovery and Data Mining ; Part 3 (2023)

Multi-sourced Integrated Ranking with Exposure Fairness

von Liu, Yifan
Veröffentlicht in Pacific-Asia Conference on Knowledge Discovery and Data Mining (28. : 2024 : Taipeh) Advances in knowledge discovery and data mining ; Part 5 (2024)

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation

von Chen, Xianyu
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 4, part 2 of 2 (2023)