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12개의 글

  • A Survey on Reinforcement Learning for Recommender Systems

    • paper_review
    • survey
    • reinforcement_learning
    • recommendation_system
  • Deep Exploration via Bootstrapped DQN

    • Google
    • ensemble
    • paper_review
    • reinforcement_learning
  • Deep reinforcement learning for search, recommendation, and online advertising - a survey

    • paper_review
    • recommendation_system
    • reinforcement_learning
    • survey
  • DRN - A Deep Reinforcement Learning Framework for News Recommendation

    • paper_review
    • reinforcement_learning
    • WWW
  • Dueling network architectures for deep reinforcement learning

    • reinforcement_learning paper_review ICML y2016
  • Exploration by Random Network Distillation

    • paper_review
    • reinforcement_learning
  • Exploring compact reinforcement-learning representations with linear regression

    • MAB
    • linear_regression
    • paper_review
    • reinforcement_learning
  • Offline Reinforcement Learning - Tutorial, Review, and Perspectives on Open Problems

    • Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

      • KDD
      • deep_learning
      • paper_review
      • recommendation_system
      • reinforcement_learning
      • y2018
    • Reinforcement Learning for Slate-based Recommender Systems - A Tractable Decomposition and Practical Methodology

      • paper_review
      • reinforcement_learning
    • Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

      • LLM
      • RLVR
      • paper_review
      • reinforcement_learning
    • Solving Continual Combinatorial Selection via Deep Reinforcement Learning

      • IJCAI
      • deep_learning
      • paper_review
      • reinforcement_learning
      • y2019