Most Cited ICLR Oral by Qingfeng Lan Papers

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Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo

Haque Ishfaq, Qingfeng Lan, Pan Xu et al.

ICLR 2024arXiv:2305.18246