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Regularizing Trajectory Optimization with Denoising Autoencoders.

R. Boney, N. Palo, M. Berglund, A. Ilin, J. Kannala, A. Rasmus, and H. Valpola. NeurIPS, page 2855-2865. (2019)

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RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning.R. Boney, J. Sainio, M. Kaivola, A. Solin, and J. Kannala. CoRR, (2020)Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.A. Viitala, R. Boney, Y. Zhao, A. Ilin, and J. Kannala. ICAR, page 275-281. IEEE, (2021)Active one-shot learning with Prototypical Networks.R. Boney, and A. Ilin. ESANN, (2019)Simplified Temporal Consistency Reinforcement Learning.Y. Zhao, W. Zhao, R. Boney, J. Kannala, and J. Pajarinen. ICML, volume 202 of Proceedings of Machine Learning Research, page 42227-42246. PMLR, (2023)End-to-End Learning of Keypoint Representations for Continuous Control from Images.R. Boney, A. Ilin, and J. Kannala. CoRR, (2021)Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.Y. Zhao, R. Boney, A. Ilin, J. Kannala, and J. Pajarinen. ESANN, (2022)Regularizing Model-Based Planning with Energy-Based Models.R. Boney, J. Kannala, and A. Ilin. CoRL, volume 100 of Proceedings of Machine Learning Research, page 182-191. PMLR, (2019)Learning to Play Imperfect-Information Games by Imitating an Oracle Planner.R. Boney, A. Ilin, J. Kannala, and J. Seppänen. CoRR, (2020)Semi-Supervised Few-Shot Learning with MAML.R. Boney, and A. Ilin. ICLR (Workshop), OpenReview.net, (2018)SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations.K. Nakhleh, M. Raza, M. Tang, M. Andrews, R. Boney, I. Hadzic, J. Lee, A. Mohajeri, and K. Palyutina. ICRA, page 9464-9470. IEEE, (2023)

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Regularizing Trajectory Optimization with Denoising Autoencoders.

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Disambiguation of "Boney, Rinu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Regularizing Trajectory Optimization with Denoising Autoencoders.

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Regularizing Trajectory Optimization with Denoising Autoencoders.