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Lecture 14: Reinforcement Learning
Lecture 14 - May 23, 2017 Case Study: Playing Atari Games 42 Objective: Complete the game with the highest score State: Raw pixel inputs of the game state Action: Game controls e.g. Left, Right, Up, Down Reward: Score increase/decrease at each time step [Mnih et al. NIPS Workshop 2013; Nature 2015]
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Lecture 9: CNN Architectures
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