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Advanced Training Environments for Interactive AI Agents

Agents need interactive worlds for reinforcement learning; high-quality simulations replace costly real-world data collection.

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Evaluation

  • Metrics: Episode rewards, sim-to-real transfer rates, and procedural diversity scores.
  • Trade-offs: High-fidelity simulations vs. compute costs; video bridging vs. annotation effort.
Section 5 of 6
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