Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation - researchr publication authors

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Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner. Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. In Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup, editors, Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada. Volume 232 of Proceedings of Machine Learning Research, pages 878-908, PMLR, 2023. [doi]

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