Deep variational reinforcement learning for POMDPs

Deep variational reinforcement learning for POMDPs

Many real-world sequential decision making problems are partially observable by nature, and the environment model is typically unknown. Consequently, there is great need for reinforcement learning methods that can tackle such problems given only a stream of incomplete and noisy observations. In this...

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Detaylı Bibliyografya
Asıl Yazarlar: Igl, M, Zintgraf, L, Le, T, Wood, F, Whiteson, S
Materyal Türü: Conference item
Baskı/Yayın Bilgisi: Journal of Machine Learning Research 2018

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