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Advancements in Reinforcement Learning and DeepMind's Contribution
This chapter discusses the progress made in reinforcement learning and its application in various fields, highlighting DeepMind's contribution to the field. They explore DeepMind's system called DQN, which achieved success in playing Atari games using only raw pixel inputs and game controller outputs without prior knowledge. The chapter also touches on the controversial AlphaGo project and the challenges in achieving human-level artificial intelligence.