Xiong, Wei, Zhong, Han, Shi, Chengshuai, Shen, Cong, Wang, Liwei, and Zhang, Tong. Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. Retrieved from https://par.nsf.gov/biblio/10415660. International Conference on Learning Representations (ICLR) .
Xiong, Wei, Zhong, Han, Shi, Chengshuai, Shen, Cong, Wang, Liwei, and Zhang, Tong.
"Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game". International Conference on Learning Representations (ICLR) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10415660.
@article{osti_10415660,
place = {Country unknown/Code not available},
title = {Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game},
url = {https://par.nsf.gov/biblio/10415660},
abstractNote = {},
journal = {International Conference on Learning Representations (ICLR)},
author = {Xiong, Wei and Zhong, Han and Shi, Chengshuai and Shen, Cong and Wang, Liwei and Zhang, Tong},
}
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