Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen. Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 5331-5340, PMLR, 2019. [doi]

Authors

Kate Rakelly

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Aurick Zhou

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Chelsea Finn

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Sergey Levine

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Deirdre Quillen

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