Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

no code implementations • 20 Feb 2024 • Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu

In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a synergistic solution.

Adversarial Robustness Evolutionary Algorithms +2

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

no code implementations • 9 Sep 2023 • Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong liu

With the increasing complexity and diversity of educational data, Deep Learning techniques have shown significant advantages in addressing the challenges associated with analyzing and modeling this data.

Knowledge Tracing

A Survey on Reinforcement Learning for Recommender Systems

no code implementations • 22 Sep 2021 • Yuanguo Lin, Yong liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao

To understand the challenges and relevant solutions, there should be a reference for researchers and practitioners working on RL-based recommender systems.

Explainable Recommendation reinforcement-learning +2

Adaptive Course Recommendation System

no code implementations • journal 2021 • Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong liu, Pengcheng Wu

In this paper, we propose a novel course recommendation framework, named Dynamic Attention and hierarchical Reinforcement Learning (DARL), to improve the adaptivity of the recommendation model.

Hierarchical Reinforcement Learning