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Devesh K. Jha | Yoko Sasaki | Daniel Nikovski | Asako Kanezaki | Toshisada Mariyama | Yusuke Yoshiyasu | Kei Ota | Tadashi Onishi | D. Nikovski | Y. Sasaki | Asako Kanezaki | Keita Ota | T. Onishi | Y. Yoshiyasu | T. Mariyama
[1] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[2] B. Faverjon,et al. Probabilistic Roadmaps for Path Planning in High-Dimensional Con(cid:12)guration Spaces , 1996 .
[3] Jürgen Leitner,et al. Learning robust, real-time, reactive robotic grasping , 2019, Int. J. Robotics Res..
[4] Devesh K. Jha,et al. Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[5] Jonathan P. How,et al. Safe Reinforcement Learning With Model Uncertainty Estimates , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[6] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Stefan Schaal,et al. Real-Time Perception Meets Reactive Motion Generation , 2017, IEEE Robotics and Automation Letters.
[8] Alejandro Perez,et al. Optimal Bidirectional Rapidly-Exploring Random Trees , 2013 .
[9] Sergey Levine,et al. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , 2018, ICML.
[10] Devesh K. Jha,et al. Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[11] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[12] Vladlen Koltun,et al. Playing for Data: Ground Truth from Computer Games , 2016, ECCV.
[13] Lydia Tapia,et al. PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[14] Pieter Abbeel,et al. Learning Robotic Assembly from CAD , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[15] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[16] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[17] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Mohi Khansari,et al. RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Dinesh Manocha,et al. Reactive deformation roadmaps: motion planning of multiple robots in dynamic environments , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[20] Stefan Schaal,et al. STOMP: Stochastic trajectory optimization for motion planning , 2011, 2011 IEEE International Conference on Robotics and Automation.
[21] Joelle Pineau,et al. Improving Sample Efficiency in Model-Free Reinforcement Learning from Images , 2019, ArXiv.
[22] Steven M. LaValle,et al. Planning algorithms , 2006 .
[23] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[24] David Janz,et al. Learning to Drive in a Day , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[25] Aleksandra Faust,et al. Learning Navigation Behaviors End-to-End With AutoRL , 2018, IEEE Robotics and Automation Letters.
[26] Siddhartha S. Srinivasa,et al. CHOMP: Gradient optimization techniques for efficient motion planning , 2009, 2009 IEEE International Conference on Robotics and Automation.
[27] Lydia E. Kavraki,et al. Probabilistic roadmaps for path planning in high-dimensional configuration spaces , 1996, IEEE Trans. Robotics Autom..
[28] Manuela M. Veloso,et al. Real-time randomized path planning for robot navigation , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[29] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[30] Sergey Levine,et al. Guided Policy Search , 2013, ICML.
[31] Dumitru Erhan,et al. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Stefanie Tellex,et al. Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control , 2019, ArXiv.
[33] Taesung Park,et al. CyCADA: Cycle-Consistent Adversarial Domain Adaptation , 2017, ICML.
[34] Sergey Levine,et al. Planning with Goal-Conditioned Policies , 2019, NeurIPS.