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Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning.

, , , , , , , , and . IJCAI, page 2459-2467. ijcai.org, (2023)

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Error bounds for augmented truncation approximations of continuous-time Markov chains., , and . Oper. Res. Lett., 46 (4): 409-413 (2018)On geometric and algebraic transience for block-structured Markov chains., , and . J. Appl. Probab., 57 (4): 1313-1338 (2020)Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning., , , , , , , , and . IJCAI, page 2459-2467. ijcai.org, (2023)Broad Autoencoder Features Learning for Pattern Classification Problems., , , , and . ICCI*CC, page 130-135. IEEE, (2019)TREA: Tree-Structure Reasoning Schema for Conversational Recommendation., , , , , , and . ACL (1), page 2970-2982. Association for Computational Linguistics, (2023)HELP: An LSTM-based approach to hyperparameter exploration in neural network learning., , , , and . Neurocomputing, (2021)DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation., , , , and . AAAI, page 4092-4100. AAAI Press, (2022)Population-Based Hyperparameter Tuning With Multitask Collaboration., , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 5719-5731 (September 2023)Exact tail asymptotics for fluid models driven by an M/M/c queue., , and . Queueing Syst. Theory Appl., 91 (3-4): 319-346 (2019)Broad Autoencoder Features Learning for Classification Problem., , , and . Int. J. Cogn. Informatics Nat. Intell., 15 (4): 1-15 (2021)