RL for Recommendation

RL: Reinforcement Learning

Ask about this topic

Latest papers

CardsList

15 papers3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders

    Oct 13, 2026Xin Li, Hao Jiang, Jinghao Guo +2RL for RecommendationLarge Language Model-Based Recommendation

    Nanyang Technological University, Singapore

  2. Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement Learning

    Oct 9, 2026Oriol Corcoll, Qiyao Wei, Ciarán Mark Gilligan-LeeRL for RecommendationStep-Level Credit Assignment in RL

    Spotify · University of Cambridge

  3. Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation

    Oct 6, 2026Wenwen Si, Honghao WeiSequential RecommendationRL for Recommendation

    University of Pennsylvania · Washington State University

  4. Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation

    Aug 12, 2026Kangning Zhang, Haotian Fang, Xukun Luo +6Sequential RecommendationRL for Recommendation

    Shanghai Jiao Tong University Shanghai, China · Mei Tuan Beijing, China

  5. Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation

    Jun 7, 2026Kewei Xu, Junbo Qi, Yanyan Zou +3RL for RecommendationGroup Relative Policy Optimization

    Waseda University Tokyo, Japan · University of Electronic Science and Technology of China Chengdu, China

  6. ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation

    May 27, 2026Hongru Hou, Tiehua Mei, Denghui Geng +5RL for RecommendationPolicy Gradient Methods

  7. SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation

    May 17, 2026Zaiyi Zheng, Guanghui Min, Yaochen Zhu +4RL for Language Model ReasoningCredit Assignment in RL

    University of Virginia · 2Nokia

  8. Don't Let Bandit Feedback Pull Continual LLM-Recommender Updates Off Target

    May 17, 2026Taesan Kim, Hyeongjun Yun, Jaegul Choo +1Large Language Model-Based RecommendationOff-Policy RL

    1SK Telecom · 2KAIST

  9. Bridging Textual Profiles and Latent User Embeddings for Personalization

    May 7, 2026Zhaoxuan Tan, Xiang Zhai, Yan Zhu +2Sequential RecommendationRL for Recommendation

    University of Notre Dame · 2Google · * This work was done while Zhaoxuan was a student researcher at Google.

  10. ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation

    Apr 24, 2026Peiyan Zhang, Hanmo Liu, Chengxuan Tong +3RL for Generative ModelsSparse-Reward RL

    1Huawei Technologies Co., Ltd.

  11. GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation

    Apr 16, 2026Yanyan Zou, Junbo Qi, Lunsong Huang +7RL for RecommendationGenerative Retrieval

    JD.com Beijing, China · Waseda University Tokyo, Japan

  12. AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation

    Mar 20, 2026Jingcao Xu, Jianyun Zou, Renkai Yang +3RL for RecommendationRecommender Systems

    Taobao & Tmall Group of Alibaba, Hangzhou, China · University of Electronic Science and Technology of China, Chengdu, China

  13. FlexRec: Adapting LLM-based Recommenders for Flexible Needs via Reinforcement Learning

    Mar 12, 2026Yijun Pan, Weikang Qiu, Qiyao Ma +4RL for RecommendationRecommender Systems

    Yale University · University of California, Davis · Snap Inc.

  14. Generative Recommendation for Large-Scale Advertising

    Feb 26, 2026Ben Xue, Dan Liu, Lixiang Wang +27RL for RecommendationRecommender Systems

    Kuaishou Technology, Beijing, China

  15. GR2: Generative Reasoning Re-ranker

    Feb 8, 2026Mingfu Liang, Yufei Li, Jay Xu +20RL for Language ModelsRL for Recommendation

    Meta AI