Simulation vs. Reality
AI excels in virtual environments, as demonstrated by its success in games like Dota and Starcraft, where extensive simulations allow for effective training. However, the challenge lies in transferring this learned behavior to the real world, where unpredictable variables and slippage complicate the process. Just as a baby learns through interaction and prediction, AI must also adapt to build accurate models of its environment, highlighting the need for robust simulations to bridge the gap between virtual and real-world applications.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
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