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We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and encourage faster reward propagation.
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Issues in using function approxima- tion for reinforcement learning
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Neuro-Dynamic Programming
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An analysis of temporal-difference learning with function approximation
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Neural fitted Q iteration - first experiences with a data efficient neural reinforcement learning method
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Real-time reinforcement learning by sequential actor-critics and experience replay
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Deep auto-encoder neural networks in reinforcement learning
S. Lange and M. Riedmiller · 2010
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Double Q-learning
H. van Hasselt · 2010
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Approximate Dynamic Programming
W. P. Powell · 2011
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G. E. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-R. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, and B. Kingsbury · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, , and G. E. Hinton · 2012
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The arcade learning environment: An evaluation platform for general agents
M. G. Bellemare, Y. Naddaf, J. Veness, and M. Bowling · 2013
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Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis · 2015
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Massively Parallel Methods for Deep Reinforcement Learning
A. Nair, P. Srinivasan, S. Blackwell, C. Alcicek, R. Fearon, V. Panneershelvam A. De Maria, M. Suleyman, C. Beattie, S. Petersen, S. Legg, V. Mnih, K. Kavukcuoglu, and D. Silver · 2015
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Deep Reinforcement Learning with Double Q-learning
H. van Hasselt, A. Guez, and D. Silver · 2015
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Dueling Network Architectures for Deep Reinforcement Learning
Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas · 2015
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Representation Learning: A Review and New Perspectives
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Playing Atari with Deep Reinforcement Learning
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
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Deep learning
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C. Blundell, B. Uria, A. Pritzel, Y. Li, A. Ruderman, J. Z. Leibo, J. Rae, D. Wierstra, and D. Hassabis · 2016
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Asynchronous Methods for Deep Reinforcement Learning
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Safe and efficient off-policy reinforcement learning
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