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Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.

, , , , , and . IJCNN, page 1-8. IEEE, (2020)

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Towards Data-efficient Dynamic Recommender Systems for Personalised Collaborative Intelligence.. University of New South Wales, Sydney, Australia, (2023)base-search.net (ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/101503).Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation., , , , and . World Wide Web (WWW), 26 (5): 3253-3274 (September 2023)Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference., , , , , and . CoRR, (2021)Uncertainty-aware Distributional Offline Reinforcement Learning., , , and . CoRR, (2024)Expert2Vec: Distributed Expert Representation Learning in Question Answering Community., , , , , and . ADMA, volume 11888 of Lecture Notes in Computer Science, page 288-301. Springer, (2019)Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks., , , , , , and . DASFAA (7), volume 14856 of Lecture Notes in Computer Science, page 199-209. Springer, (2024)A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions., , , , and . CoRR, (2021)Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning., , , and . SIGIR, page 1599-1608. ACM, (2023)MORO: A Multi-behavior Graph Contrast Network for Recommendation., , , and . APWeb/WAIM (3), volume 13423 of Lecture Notes in Computer Science, page 117-131. Springer, (2022)Generative Adversarial U-Net for Domain-free Medical Image Augmentation., , , , and . CoRR, (2021)