A Provably Efficient Sample Collection Strategy for Reinforcement Learning - researchr publication authors

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Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric. A Provably Efficient Sample Collection Strategy for Reinforcement Learning. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 7611-7624, 2021. [doi]

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