Model Selection in Reinforcement Learning with General Function Approximations

Author:

Ghosh Avishek,Chowdhury Sayak Ray

Publisher

Springer Nature Switzerland

Reference35 articles.

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2. Agarwal, A., Luo, H., Neyshabur, B., Schapire, R.E.: Corralling a band of bandit algorithms. In: Conference on Learning Theory, pp. 12–38. PMLR (2017)

3. Arora, R., Marinov, T.V., Mohri, M.: Corralling stochastic bandit algorithms. In: International Conference on Artificial Intelligence and Statistics, pp. 2116–2124. PMLR (2021)

4. Ayoub, A., Jia, Z., Szepesvari, C., Wang, M., Yang, L.F.: Model-based reinforcement learning with value-targeted regression. arXiv preprint arXiv:2006.01107 (2020)

5. Balakrishnan, S., Wainwright, M.J., Yu, B., et al.: Statistical guarantees for the EM algorithm: from population to sample-based analysis. Ann. Stat. 45(1), 77–120 (2017)

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