Deep Reinforcement Learning

Deep Reinforcement Learning

Deep reinforcement learning (deep RL) is the integration of deep learning methods, classically used in supervised or unsupervised learning contexts, with reinforcement learning (RL), a well-studied adaptive control method used in problems with delayed and partial feedback.

Home-made textbook on deep RL:

https://julien-vitay.net/deeprl

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Julien Vitay
Researcher in Computational Neuroscience and Artificial Intelligence

Lab of AI, TU Chemnitz (Germany).

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