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Timing as an Action: Learning When to Observe and Act.

, , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3979-3987. PMLR, (2024)

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Off-Policy Risk Assessment in Contextual Bandits., , , и . NeurIPS, стр. 23714-23726. (2021)Reinforcement Learning in Low-rank MDPs with Density Features., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 13710-13752. PMLR, (2023)Graph-Structured Visual Imitation., , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 979-989. PMLR, (2019)Off-Policy Risk Assessment for Markov Decision Processes., , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 5022-5050. PMLR, (2022)Off-Policy Risk Assessment in Markov Decision Processes., , , и . CoRR, (2022)Extended Abstract: Learning in Low-rank MDPs with Density Features., , и . CISS, стр. 1-3. IEEE, (2023)Offline Reinforcement Learning with Realizability and Single-policy Concentrability., , , , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 2730-2775. PMLR, (2022)Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions., и . NeurIPS, (2022)Supervised Learning with General Risk Functionals., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 12570-12592. PMLR, (2022)Timing as an Action: Learning When to Observe and Act., , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 3979-3987. PMLR, (2024)