Teacher–Student Curriculum Learning
暂无分享,去创建一个
John Schulman | Taco Cohen | Avital Oliver | Tambet Matiisen | J. Schulman | Tambet Matiisen | A. Oliver | Taco Cohen | Avital Oliver | John Schulman
[1] R. Bellman. A Markovian Decision Process , 1957 .
[2] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[3] Leslie Pack Kaelbling,et al. Planning and Acting in Partially Observable Stochastic Domains , 1998, Artif. Intell..
[4] Peter Auer,et al. The Nonstochastic Multiarmed Bandit Problem , 2002, SIAM J. Comput..
[5] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[6] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[7] Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
[8] Pierre-Yves Oudeyer,et al. What is Intrinsic Motivation? A Typology of Computational Approaches , 2007, Frontiers Neurorobotics.
[9] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[10] Jürgen Schmidhuber,et al. Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) , 2010, IEEE Transactions on Autonomous Mental Development.
[11] Pierre-Yves Oudeyer,et al. The strategic student approach for life-long exploration and learning , 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).
[12] Pierre-Yves Oudeyer,et al. Active learning of inverse models with intrinsically motivated goal exploration in robots , 2013, Robotics Auton. Syst..
[13] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[14] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[15] Sergey Levine,et al. Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models , 2015, ArXiv.
[16] Pierre-Yves Oudeyer,et al. Multi-Armed Bandits for Intelligent Tutoring Systems , 2013, EDM.
[17] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[20] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[21] Filip De Turck,et al. VIME: Variational Information Maximizing Exploration , 2016, NIPS.
[22] Honglak Lee,et al. Control of Memory, Active Perception, and Action in Minecraft , 2016, ICML.
[23] Alex Graves,et al. Grid Long Short-Term Memory , 2015, ICLR.
[24] Lukasz Kaiser,et al. Neural GPUs Learn Algorithms , 2015, ICLR.
[25] Tom Schaul,et al. Unifying Count-Based Exploration and Intrinsic Motivation , 2016, NIPS.
[26] Sergio Gomez Colmenarejo,et al. Hybrid computing using a neural network with dynamic external memory , 2016, Nature.
[27] Wei Liu,et al. Multi-Modal Curriculum Learning for Semi-Supervised Image Classification , 2016, IEEE Transactions on Image Processing.
[28] Nando de Freitas,et al. Neural Programmer-Interpreters , 2015, ICLR.
[29] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[30] Katja Hofmann,et al. The Malmo Platform for Artificial Intelligence Experimentation , 2016, IJCAI.
[31] DarrellTrevor,et al. End-to-end training of deep visuomotor policies , 2016 .
[32] Balaraman Ravindran,et al. Online Multi-Task Learning Using Biased Sampling , 2017 .
[33] Wei Liu,et al. Label Propagation via Teaching-to-Learn and Learning-to-Teach , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[34] Alex Graves,et al. Automated Curriculum Learning for Neural Networks , 2017, ICML.
[35] Theja Tulabandhula,et al. Faster Reinforcement Learning Using Active Simulators , 2017, ArXiv.
[36] Shie Mannor,et al. A Deep Hierarchical Approach to Lifelong Learning in Minecraft , 2016, AAAI.
[37] Stephen Tyree,et al. Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU , 2016, ICLR.
[38] Yuandong Tian,et al. Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning , 2016, ICLR.
[39] John Langford,et al. Efficient Exploration in Reinforcement Learning , 2017, Encyclopedia of Machine Learning and Data Mining.
[40] Razvan Pascanu,et al. Learning to Navigate in Complex Environments , 2016, ICLR.
[41] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[42] Balaraman Ravindran,et al. Learning to Multi-Task by Active Sampling , 2017, ICLR.
[43] Pieter Abbeel,et al. Automatic Goal Generation for Reinforcement Learning Agents , 2017, ICML.
[44] Ivor W. Tsang,et al. Progressive Stochastic Learning for Noisy Labels , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[45] Ilya Kostrikov,et al. Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play , 2017, ICLR.
[46] Jian Yang,et al. Ensemble Teaching for Hybrid Label Propagation , 2019, IEEE Transactions on Cybernetics.