526互联

Preference

RLHF · PBRL | B-Pref：生成多样非理性 preference，建立 PBRL benchmark

贡献：提出一种生成非理性（模拟人类）preference 的方法，使用多样化的 preference，评测了 PBRL 各环节算法设计（select informative queries、feedback schedule）的效果。 ......
非理性 PBRL preference benchmark B-Pref

RLHF · PBRL | PEBBLE：通过 human preference 学习 reward model

① 使用熵 intrinsic reward 的 agent pre-training，② 选择尽可能 informative 的 queries 去获取 preference，③ 使用更新后的 reward model 对 replay buffer 进行 relabel。 ......
preference PEBBLE reward human model

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation

目录概符号说明TimelyRecMulti-aspect Time Encoder (MATE)Time-aware History Encoder (TAHE)Prediction代码 Cho J., Hyun D., Kang S. and Yu H. Learning heterogeneou ......
Recommendation Heterogeneous Preference Learning Temporal

Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity

Meymandpour R. and Davis J. G. Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity. Knowled ......
diversity preference-aware recommendations evaluating preference
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