Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 25, 2024Open Access

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling

View Full Paper
Ask AI
Bookmark
Share

Authors

JWJie WangJiangsu UniversityAKAlexandros KaratzoglouAmazon (United States)IAIoannis ArapakisTelefónica (United Kingdom)

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e72868b6db6435876a2437https://doi.org/10.48550/arxiv.2403.16948
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems2024
  2. 2Adaptive reinforcement learning for recommendation via large language models and knowledge graphs2026
  3. 3Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation2025 · 1 citations
  4. 4Representation Learning with Large Language Models for Recommendation2024 · 228 citations
  5. 5A Survey on Large Language Models for Deep Reinforcement Learning2026