New reinforcement learning methods aim to improve AI in gaming and beyond

We discuss reinforcement learning – an AI approach that is especially promising for training naturally behaving game characters with nuanced reactions to human players. Viewers learn about key concepts of reinforcement learning in the context of Project Malmo – which enables RL research in the game Minecraft, and Project Paidia – which aims specifically at creating game agents that learn to genuinely collaborate with human players.

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