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Real-world robot navigation policies can achieve near-perfect sim-to-real transfer by directly learning the "interface" between velocity commands and observed feedback, bypassing complex actuator dynamics.
TradingMoE boosts trading returns by over 30% by dynamically selecting the most relevant experts based on evolving market conditions.
