NerveNet: Learning Structured Policy with Graph Neural Networks
暂无分享,去创建一个
Sanja Fidler | Renjie Liao | Jimmy Ba | Tingwu Wang | Jimmy Ba | S. Fidler | Renjie Liao | Tingwu Wang
[1] Shingo Mabu,et al. A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning , 2007, Evolutionary Computation.
[2] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[3] Honglak Lee,et al. Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning , 2017, ICML.
[4] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[5] Ah Chung Tsoi,et al. The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.
[6] Dan Klein,et al. Modular Multitask Reinforcement Learning with Policy Sketches , 2016, ICML.
[7] Hussein A. Abbass,et al. Multi-Task Deep Reinforcement Learning for Continuous Action Control , 2017, IJCAI.
[8] Sanja Fidler,et al. Situation Recognition with Graph Neural Networks , 2018 .
[9] Joshua B. Tenenbaum,et al. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , 2016, NIPS.
[10] Tom Schaul,et al. Successor Features for Transfer in Reinforcement Learning , 2016, NIPS.
[11] Pieter Abbeel,et al. Mutual Alignment Transfer Learning , 2017, CoRL.
[12] Yuval Tassa,et al. Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[13] Sergey Levine,et al. Optimal control with learned local models: Application to dexterous manipulation , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[14] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[15] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[16] Yves Chauvin,et al. Backpropagation: theory, architectures, and applications , 1995 .
[17] Peter Stone,et al. Deep Reinforcement Learning in Parameterized Action Space , 2015, ICLR.
[18] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[19] Hagit Attiya,et al. Distributed Computing: Fundamentals, Simulations and Advanced Topics , 1998 .
[20] E. Todorov,et al. A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems , 2005, Proceedings of the 2005, American Control Conference, 2005..
[21] Sridhar Mahadevan,et al. Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes , 2007, J. Mach. Learn. Res..
[22] Christoph Goller,et al. Learning task-dependent distributed representations by backpropagation through structure , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[23] Daniele Calandriello,et al. Sparse multi-task reinforcement learning , 2014, Intelligenza Artificiale.
[24] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[25] Sergey Levine,et al. Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning , 2017, ICLR.
[26] Sergey Levine,et al. High-Dimensional Continuous Control Using Generalized Advantage Estimation , 2015, ICLR.
[27] Pieter Abbeel,et al. Benchmarking Deep Reinforcement Learning for Continuous Control , 2016, ICML.
[28] Ruslan Salakhutdinov,et al. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning , 2015, ICLR.
[29] Shin Ishii,et al. A model-based reinforcement learning: a computational model and an fMRI study , 2003, ESANN.
[30] Jan Hendrik Metzen,et al. Learning Graph-Based Representations for Continuous Reinforcement Learning Domains , 2013, ECML/PKDD.
[31] Yuval Tassa,et al. Emergence of Locomotion Behaviours in Rich Environments , 2017, ArXiv.
[32] Sergey Levine,et al. Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[33] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[34] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[35] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[36] Yee Whye Teh,et al. Distral: Robust multitask reinforcement learning , 2017, NIPS.
[37] Navdeep Jaitly,et al. Discrete Sequential Prediction of Continuous Actions for Deep RL , 2017, ArXiv.
[38] Yuval Tassa,et al. MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[39] Emanuel Todorov,et al. Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems , 2004, ICINCO.
[40] Sergey Levine,et al. One-Shot Visual Imitation Learning via Meta-Learning , 2017, CoRL.
[41] F. Scarselli,et al. A new model for learning in graph domains , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[42] Tom Schaul,et al. FeUdal Networks for Hierarchical Reinforcement Learning , 2017, ICML.
[43] John Langford,et al. Approximately Optimal Approximate Reinforcement Learning , 2002, ICML.
[44] Alán Aspuru-Guzik,et al. Convolutional Networks on Graphs for Learning Molecular Fingerprints , 2015, NIPS.
[45] Auke Jan Ijspeert,et al. Online Optimization of Swimming and Crawling in an Amphibious Snake Robot , 2008, IEEE Transactions on Robotics.
[46] Sham M. Kakade,et al. Towards Generalization and Simplicity in Continuous Control , 2017, NIPS.
[47] Philippe Beaudoin,et al. Generalized biped walking control , 2010, SIGGRAPH 2010.
[48] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[49] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[50] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[51] Peter L. Bartlett,et al. RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning , 2016, ArXiv.
[52] Masoud Asadpour,et al. Graph based skill acquisition and transfer Learning for continuous reinforcement learning domains , 2017, Pattern Recognit. Lett..
[53] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[54] Sanja Fidler,et al. 3D Graph Neural Networks for RGBD Semantic Segmentation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[55] Andrew Y. Ng,et al. Parsing Natural Scenes and Natural Language with Recursive Neural Networks , 2011, ICML.
[56] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[57] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[58] Alan Fern,et al. Multi-task reinforcement learning: a hierarchical Bayesian approach , 2007, ICML '07.
[59] Eric Eaton,et al. Online Multi-Task Learning for Policy Gradient Methods , 2014, ICML.
[60] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.