[1708.05866] A Brief Survey of Deep Reinforcement Learning

arxiv.org

In this survey, the authors begin with an introduction to the general field of reinforcement learning, then progress to the main streams of value-based and policy-based methods. The survey covers central algorithms in deep reinforcement learning, including the deep Q-network, trust region policy optimisation, and asynchronous advantage actor-critic. In parallel, the authors highlight the unique advantages of deep neural networks, focusing on visual understanding via reinforcement learning.

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