VPE: Variational Policy Embedding for Transfer Reinforcement Learning
暂无分享,去创建一个
[1] B. Welford. Note on a Method for Calculating Corrected Sums of Squares and Products , 1962 .
[2] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[3] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[4] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[5] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[6] R. Bellman. A Markovian Decision Process , 1957 .
[7] Marcin Andrychowicz,et al. Parameter Space Noise for Exploration , 2017, ICLR.
[8] Marc Peter Deisenroth,et al. Deep Reinforcement Learning: A Brief Survey , 2017, IEEE Signal Processing Magazine.
[9] Gaurav S. Sukhatme,et al. Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets , 2017, NIPS.
[10] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[11] Robert Babuska,et al. A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[12] David Silver,et al. Learning values across many orders of magnitude , 2016, NIPS.
[13] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[14] J. Schulman,et al. Reptile: a Scalable Metalearning Algorithm , 2018 .
[15] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Joshua Achiam,et al. On First-Order Meta-Learning Algorithms , 2018, ArXiv.
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] Jonas Mockus,et al. On Bayesian Methods for Seeking the Extremum , 1974, Optimization Techniques.
[20] Marcin Andrychowicz,et al. One-Shot Imitation Learning , 2017, NIPS.
[21] Danica Kragic,et al. Reinforcement Learning for Pivoting Task , 2017, ArXiv.
[22] Danica Kragic,et al. SimTrack: A simulation-based framework for scalable real-time object pose detection and tracking , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[23] Yang Yu,et al. Learning Environmental Calibration Actions for Policy Self-Evolution , 2018, IJCAI.
[24] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[25] Alex Graves,et al. Practical Variational Inference for Neural Networks , 2011, NIPS.
[26] Ole Winther,et al. Ladder Variational Autoencoders , 2016, NIPS.
[27] Sergey Levine,et al. Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[28] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[30] Stefano Ermon,et al. Generative Adversarial Imitation Learning , 2016, NIPS.
[31] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[32] Karol Hausman,et al. Learning an Embedding Space for Transferable Robot Skills , 2018, ICLR.
[33] Geoffrey E. Hinton,et al. Keeping the neural networks simple by minimizing the description length of the weights , 1993, COLT '93.
[34] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[35] Nima Tajbakhsh,et al. Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? , 2016, IEEE Transactions on Medical Imaging.
[36] Sebastian Nowozin,et al. The Numerics of GANs , 2017, NIPS.
[37] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[39] Wojciech Zaremba,et al. OpenAI Gym , 2016, ArXiv.
[40] Ole Winther,et al. How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks , 2016, ICML 2016.