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On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation.

, , , , и . AAAI, стр. 9310-9318. AAAI Press, (2023)

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Nguyen Thanh

Thanh Nguyen

Thanh Nguyen

Phuong Thanh Nguyen

Phong Nguyen Thanh

 

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On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation., , , , и . CoRR, (2022)SigFormer: Signature Transformers for Deep Hedging., , , , и . ICAIF, стр. 124-132. ACM, (2023)On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond., и . CoRR, (2024)Two-Stage Neural Contextual Bandits for Personalised News Recommendation., , , , , и . CoRR, (2022)Distributional Reinforcement Learning via Moment Matching., , и . AAAI, стр. 9144-9152. AAAI Press, (2021)Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization., , , и . ICLR, OpenReview.net, (2022)On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency.. CoRR, (2022)On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation., , , , и . AAAI, стр. 9310-9318. AAAI Press, (2023)Bayesian Optimization with Unknown Search Space., , , , , и . NeurIPS, стр. 11772-11781. (2019)TIPI: Test Time Adaptation with Transformation Invariance., , , и . CVPR, стр. 24162-24171. IEEE, (2023)