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Model-free vs Model-based Reinforcement Learning -- Oriol Vinyals (11/10/2020)

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CMU AI Seminar -- November 10, 2020 Oriol Vinyals -- Model-free vs Model-based Reinforcement Learning Abstract: In this talk, we will review model-free and model-based RL, two paradigms that have enabled global breakthroughs in AI research. This research included the ability to defeat professionals at the games of Go, Poker, StarCraft, or DOTA, and in other fields such as Robotics. Using the examples of the AlphaGo and AlphaStar agents, I'll present two approaches from these paradigms in RL and will conc

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