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Dqn. In this article i introduce deep q network dqn that is the first deep reinforcement learning method proposed by deepmind. Corrects the stock dqn algorithms tendency to sometimes overestimate the values tied to specific actions. They must derive efficient.
A reinforcement learning algorithm that combines q learning with deep neural networks to let rl work for complex high dimensional environments like video games or robotics. After the paper was published on nature in 2015 a lot of research institutes joined this field because deep neural network can empower rl to directly deal with high dimensional states like images thanks to techniques used in dqn. Dqn source code of dqn 30 a lua based deep reinforcement learning architecture for reproducing the experiments described in our nature paper human level control through deep reinforcement learning.
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