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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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Key Concepts

  • RL environments: Gym-like interfaces that expose action, observation, and reward loops.
  • Simulations: Virtual spaces—such as web browsers or 3D worlds—for safe practice.
  • Scaling: Procedural generation delivers infinite variety without manual level design.
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