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Model-Based Reinforcement Learning via Meta-Policy Optimization.

I. Clavera, J. Rothfuss, J. Schulman, Y. Fujita, T. Asfour, and P. Abbeel. CoRL, volume 87 of Proceedings of Machine Learning Research, page 617-629. PMLR, (2018)

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Model-Augmented Actor-Critic: Backpropagating through Paths.I. Clavera, Y. Fu, and P. Abbeel. ICLR, OpenReview.net, (2020)Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning.A. Nagabandi, I. Clavera, S. Liu, R. Fearing, P. Abbeel, S. Levine, and C. Finn. ICLR (Poster), OpenReview.net, (2019)ProMP: Proximal Meta-Policy Search.J. Rothfuss, D. Lee, I. Clavera, T. Asfour, and P. Abbeel. CoRR, (2018)Model-Augmented Actor-Critic: Backpropagating through Paths.I. Clavera, V. Fu, and P. Abbeel. CoRR, (2020)Sub-policy Adaptation for Hierarchical Reinforcement Learning.A. Li, C. Florensa, I. Clavera, and P. Abbeel. ICLR, OpenReview.net, (2020)Policy transfer via modularity and reward guiding.I. Clavera, D. Held, and P. Abbeel. IROS, page 1537-1544. IEEE, (2017)Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.Y. Seo, K. Lee, I. Clavera, T. Kurutach, J. Shin, and P. Abbeel. CoRR, (2020)Model-Based Reinforcement Learning via Meta-Policy Optimization.I. Clavera, J. Rothfuss, J. Schulman, Y. Fujita, T. Asfour, and P. Abbeel. CoRL, volume 87 of Proceedings of Machine Learning Research, page 617-629. PMLR, (2018)Learning to Adapt: Meta-Learning for Model-Based Control.I. Clavera, A. Nagabandi, R. Fearing, P. Abbeel, S. Levine, and C. Finn. CoRR, (2018)Sub-policy Adaptation for Hierarchical Reinforcement Learning.A. Li, C. Florensa, I. Clavera, and P. Abbeel. CoRR, (2019)

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Disambiguation of "Clavera, Ignasi"

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Model-Based Reinforcement Learning via Meta-Policy Optimization.

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Disambiguation of "Clavera, Ignasi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Based Reinforcement Learning via Meta-Policy Optimization.

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Model-Based Reinforcement Learning via Meta-Policy Optimization.