Skip to content

Wolpertinger architecture for power grid operation

License

Notifications You must be signed in to change notification settings

Tezirg/WolperGrid

Repository files navigation

WolperGrid

Wolpertinger architecture 3 for power grid operation 7

References

ref1

1.Tavakoli, A., Pardo, F. & Kormushev, P. Action Branching Architectures for Deep Reinforcement Learning. in Thirty-Second AAAI Conference on Artificial Intelligence (2018).

ref2

2.Lillicrap, T. P. et al. Continuous control with deep reinforcement learning. arXiv:1509.02971 [cs, stat] (2019).

ref3

3.Dulac-Arnold, G. et al. Deep Reinforcement Learning in Large Discrete Action Spaces. arXiv:1512.07679 [cs, stat] (2016).

ref4

4.Hausknecht, M. & Stone, P. Deep Reinforcement Learning in Parameterized Action Space. arXiv:1511.04143 [cs] (2016).

ref5

5.Chandak, Y., Theocharous, G., Kostas, J., Jordan, S. & Thomas, P. S. Learning Action Representations for Reinforcement Learning. arXiv:1902.00183 [cs, stat] (2019).

ref6

6.Donnot, B., Guyon, I., Schoenauer, M., Panciatici, P. & Marot, A. Introducing machine learning for power system operation support. arXiv:1709.09527 [cs, stat] (2017).

ref7

7.Marot, A. et al. L2RPN: Learning to Run a Power Network in a Sustainable World. 40.

About

Wolpertinger architecture for power grid operation

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published