Towards Model-Based Reinforcement Learning for Industry-Near Environments

Author:

Andersen Per-ArneORCID,Goodwin MortenORCID,Granmo Ole-ChristofferORCID

Publisher

Springer International Publishing

Reference23 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P-A Andersen,2017

2. Andersen, P.A., Goodwin, M., Granmo, O.C.: Deep RTS: a game environment for deep reinforcement learning in real-time strategy games. In: Proceedings of the IEEE International Conference on Computational Intelligence and Games, August 2018. http://arxiv.org/abs/1808.05032

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P-A Andersen,2018

4. Azar, M.G., Piot, B., Pires, B.A., Grill, J.B., Altché, F., Munos, R.: World Discovery Models. arxiv preprint arXiv:1902.07685 , February 2019. http://arxiv.org/abs/1902.07685

5. Blundell, C., et al.: Model-Free Episodic Control. arxiv preprint arXiv:1606.04460 , June 2016. http://arxiv.org/abs/1606.04460

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