Deep Reinforcement Learning for Recommender Systems
Papers
Recommender Systems:
SIGIR 20 Neural Interactive Collaborative Filtering paper code
KDD 20 Jointly Learning to Recommend and Advertise paper
CIKM 20 Whole-Chain Recommendations paper
KDD 19 Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems paper
DSFAA 19 Reinforcement Learning to Diversify Top-N Recommendation paper code
KDD 18 Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning paper
RecSys 18 Deep Reinforcement Learning for Page-wise Recommendations paper
DRL4KDD Deep Reinforcement Learning for List-wise Recommendations paper
Sigweb 19 Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey paper
Arxiv 19 Model-Based Reinforcement Learning for Whole-Chain Recommendations paper
Arxiv 19 Simulating User Feedback for Reinforcement Learning Based Recommendations paper
Arxiv 19 Deep Reinforcement Learning for Online Advertising in Recommender Systems paper
Search Engine:
KDD 18 Reinforcement Learning to Rank in E-Commerce Search Engine Formalization, Analysis, and Application paper
Advertisement
Arxiv 19 Deep Reinforcement Learning for Online Advertising in Recommender Systems paper
Re-ranking (Top K):
IJCAI 19 Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology paper arxiv
Arixv 19 Seq2Slate: Re-ranking and Slate Optimization with RNNs paper
KDD 19 Exact-K Recommendation via Maximal Clique Optimization paper
WWW 19 Value-aware Recommendation based on Reinforcement Profit Maximization paper code Dataset
Bandit:
WWW 10 A Contextual-Bandit Approach to Personalized News Article Recommendation paper
KDD 16 Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit paper
CIKM 17 Returning is Believing Optimizing Long-term User Engagement in Recommender Systems
ICLR 18 Deep Learning with Logged Bandit Feedback paper
Recsys 18 Explore, Exploit, and Explain Personalizing Explainable Recommendations with Bandits paper
Hierarchical RL
AAAI19 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs paper
WWW 19 Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning paper
DQN:
WWW 18 DRN: A Deep Reinforcement Learning Framework for News Recommendation paper
KDD 18 Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation paper
ICML 19 Off-Policy Deep Reinforcement Learning without Exploration paper
Policy Gradient:
WSDM 19 Top-K Off-Policy Correction for a REINFORCE Recommender System paper
NIPS 17 Off-policy evaluation for slate recommendation paper
ICML 19 Safe Policy Improvement with Baseline Bootstrapping paper
WWW 19 Policy Gradients for Contextual Recommendations paper
AAAI 19 Large-scale Interactive Recommendation with Tree-structured Policy Gradient paper
Actor-Critic:
Arxiv 15 Deep Reinforcement Learning in Large Discrete Action Spaces paper code
Arxiv 18 Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling paper
KDD 18 Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation paper
Multi-agent:
WWW 18 Learning to Collaborate Multi-Scenario Ranking via Multi-Agent Reinforcement Learning paper
Offline:
WSDM 19 Offline Evaluation to Make Decisions About Playlist Recommendation Algorithms paper
KDD 19 Off-policy Learning for Multiple Loggers paper
Explainable:
ICDM 18 A Reinforcement Learning Framework for Explainable Recommendation paper
SIGIR 19 Reinforcement Knowledge Graph Reasoning for Explainable Recommendation paper
Simulation:
ICML 19 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System paper