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Deep soccer analytics: learning an action-value function for evaluating soccer players.

, , , and . Data Min. Knowl. Discov., 34 (5): 1531-1559 (2020)

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An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction., , , and . SDM, page 217-225. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Learning Object-Oriented Dynamics for Planning from Text., , , and . ICLR, OpenReview.net, (2022)Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL., , and . MLSA@PKDD/ECML, volume 2284 of CEUR Workshop Proceedings, page 69-81. CEUR-WS.org, (2018)Learning Agent Representations for Ice Hockey., , , , and . NeurIPS, (2020)Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees., , , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 414-429. Springer, (2018)Cracking the Black Box: Distilling Deep Sports Analytics., , , and . KDD, page 3154-3162. ACM, (2020)NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 1942-1964. PMLR, (2023)Deep soccer analytics: learning an action-value function for evaluating soccer players., , , and . Data Min. Knowl. Discov., 34 (5): 1531-1559 (2020)NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge., , , and . CoRR, (2021)Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game., , , and . NeurIPS, (2022)