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Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes., , , , , and . AAAI, page 9543-9551. AAAI Press, (2023)Function Design Strategies of University Campuses in Cold Regions of China Based on Analysis of Behavior Patterns., and . ICIEI, page 61-65. ACM, (2020)Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning., , , , , and . EMNLP (Findings), page 5750-5768. Association for Computational Linguistics, (2022)Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters., , and . EMNLP, page 6626-6638. Association for Computational Linguistics, (2022)A Theoretical and Practical Review on Multi-Sensory Interactive Space Design for Autistic Children., and . ICEBT, page 61-65. ACM, (2020)The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process., and . NIPS, page 6754-6764. (2017)Transformer Embeddings of Irregularly Spaced Events and Their Participants., , and . ICLR, OpenReview.net, (2022)Explicit Planning Helps Language Models in Logical Reasoning., , , and . EMNLP, page 11155-11173. Association for Computational Linguistics, (2023)EasyTPP: Towards Open Benchmarking the Temporal Point Processes., , , , , , , , , and 3 other author(s). CoRR, (2023)Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6808-6819. PMLR, (2020)