Yann LeCun
Deep Learning
AI systems building internal simulations of an environment for prediction and planning, often in RL/robotics.
Detailed Explanation
World Models are advanced AI systems that create internal representations or simulations of their environment. These models enable the AI to predict future states, plan actions, and make decisions without external interaction. They are particularly useful in reinforcement learning and robotics, allowing for more efficient and generalizable learning by enabling the AI to "think ahead" within its simulated world.
Use Cases
- •Simulating robot navigation to plan paths efficiently before executing in the real environment.
Related Terms
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