Deep Q-Networks (DQNs) revolutionized the field of reinforcement learning (RL). I am sure you have heard of Google DeepMind, which used to be a British company called DeepMind Technologies until Google acquired it in 2014. DeepMind published a paper in 2013 titled Playing Atari with Deep RL, where they used Deep Neural Networks (DNNs) in the context of RL, or DQNs as they are referred to – which is an idea that is seminal to the field. This paper revolutionized the field of deep RL, and the rest is history! Later, in 2015, they published a second paper, titled Human Level Control Through Deep RL, in Nature, where they had more interesting ideas that further improved the former paper. Together, the two papers led to a Cambrian explosion in the field of deep RL, with several new algorithms that have improved the training of agents using neural networks, and...
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