Accelerated Methods for Deep Reinforcement Learning

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Massively parallel methods for deep reinforcement learning

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Duan, Y., Chen, X., Houthooft, R., Schulman, J., and Abbeel, P · 2016

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Asynchronous methods for deep reinforcement learning

Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T. P., Harley, T., Silver, D., and Kavukcuoglu, K · 2016

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Prioritized experience replay

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Theano Development Team · 2016

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Deep reinforcement learning with double q-learning

Van Hasselt, H., Guez, A., and Silver, D · 2016

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Dueling network architectures for deep reinforcement learning

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A distributional perspective on reinforcement learning

Bellemare, M. G., Dabney, W., and Munos, R · 2017

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Rainbow: Combining improvements in deep reinforcement learning

Hessel, M., Modayil, J., van Hasselt, H., Schaul, T., Ostrovski, G., Dabney, W., Horgan, D., Piot, B., Azar, M., and Silver, D · 2017

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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

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Noisy networks for exploration

Fortunato, M., Azar, M. G., Piot, B., Menick, J., Hessel, M., Osband, I., Graves, A., Mnih, V., Munos, R., Hassabis, D., Pietquin, O., Blundell, C., and Legg, S · 2018

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