research
∙
08/22/2023
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
Reinforcement learning serves as a potent tool for modeling dynamic user...
share
research
∙
04/17/2023
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
Recommendation models are typically trained on observational user intera...
research
∙
04/17/2023
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
Reinforcement learning-based recommender systems have recently gained po...
research
∙
09/17/2022
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation
Deep reinforcement learning (DRL) has been proven its efficiency in capt...
research
∙
08/10/2022
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis
Recent advances in recommender systems have proved the potential of Rein...
research
∙
04/01/2022
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation
Interactive recommendation is able to learn from the interactive process...
research
∙
12/02/2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems
Adversarial attacks, e.g., adversarial perturbations of the input and ad...
research
∙
10/21/2021
Locality-Sensitive Experience Replay for Online Recommendation
Online recommendation requires handling rapidly changing user preference...
research
∙
09/08/2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
In light of the emergence of deep reinforcement learning (DRL) in recomm...
research
∙
05/03/2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Recent advances in reinforcement learning have inspired increasing inter...
research
∙
11/04/2020
Generative Inverse Deep Reinforcement Learning for Online Recommendation
Deep reinforcement learning enables an agent to capture user's interest ...
research
∙
06/14/2020
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Adversarial attacks pose significant challenges for detecting adversaria...
research
∙
04/17/2020
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Interactive recommendation aims to learn from dynamic interactions betwe...
research
∙
04/12/2020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly...
research
∙
07/31/2019
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Deep learning algorithms have achieved excellent performance lately in a...
research
∙
07/31/2019
