Efficient Parallel Methods for Deep Reinforcement Learning

Simple statistical gradient-following algorithms for connectionist reinforcement learning

Williams, Ronald J · 1992

Earlier work this paper cites.

Policy gradient methods for reinforcement learning with function approximation

Sutton, Richard S, McAllester, David A, Singh, Satinder P, Mansour, Yishay, et al · 1999

Earlier work this paper cites.

Hogwild: A lock-free approach to parallelizing stochastic gradient descent

Recht, Benjamin, Re, Christopher, Wright, Stephen, and Niu, Feng · 2011

Earlier work this paper cites.

On the difficulty of training Recurrent Neural Networks

Pascanu, R., Mikolov, T., and Bengio, Y · 2012

Earlier work this paper cites.

The arcade learning environment: An evaluation platform for general agents

Bellemare, M. G., Naddaf, Y., Veness, J., and Bowling, M · 2013

Cited alongside, same era.

Playing Atari with Deep Reinforcement Learning

Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., and Riedmiller, M · 2013

Cited alongside, same era.

Tensorflow: Large-scale machine learning on heterogeneous systems, 2015

Abadi, Martın, Agarwal, Ashish, Barham, Paul, Brevdo, Eugene, Chen, Zhifeng, Citro, Craig, Corrado, Greg S, Davis, Andy, Dean, Jeffrey, Devin, Matthieu, et al · 2015

Cited alongside, same era.

Human-level control through deep reinforcement learning

Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Rusu, Andrei A, Veness, Joel, Bellemare, Marc G, Graves, Alex, Riedmiller, Martin, Fidjeland, Andreas K, Ostrovski, Georg, et al · 2015

Cited alongside, same era.

Massively Parallel Methods for Deep Reinforcement Learning

Nair, A., Srinivasan, P., Blackwell, S., Alcicek, C., Fearon, R., De Maria, A., Panneershelvam, V., Suleyman, M., Beattie, C., Petersen, S., Legg, S., Mnih, V., Kavukcuoglu, K., and Silver, D · 2015

Later among the works it cites.

GA3C: GPU-based A3C for Deep Reinforcement Learning

Babaeizadeh, M., Frosio, I., Tyree, S., Clemons, J., and Kautz, J · 2016

Later among the works it cites.

Optimization Methods for Large-Scale Machine Learning

Bottou, L., Curtis, F. E., and Nocedal, J · 2016

Later among the works it cites.

Asynchronous Methods for Deep Reinforcement Learning

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

Later among the works it cites.