DeepMind teaches AI from zero through SAC-X

DeepMind published a blog post proposing a new learning paradigm called SAC-X (Planning Aided Control) designed to solve the challenge of letting AI learn complex control problems from scratch with minimal prior knowledge. This successfully allows the robotic arm to learn to pick up and drop objects from the ground in the real world.

DeepMind teaches AI from zero through SAC-X

SAC-X is based on the idea of ​​learning complex tasks from scratch, that is, an agent should first learn and master a set of basic skills. Just as a baby must have the ability to coordinate and balance before crawling or walking, providing an agent with an intrinsic goal (with an auxiliary effect) that corresponds to a simple skill, which increases its likelihood of understanding and performing more complex tasks. Researchers believe that SAC-X is a versatile reinforcement learning method that can be applied to a wider range of fields beyond robotics.

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