Shared neural renderer cuts agent learning rounds

Shared visual engines are the missing lever for scaling code‑defined simulation, and AgentGarten proves that a single neural renderer can slash the number of learning rounds required for agents to master new games. Instead of millions of reinforcement‑learning episodes, agents converge after just four rounds when fed rendered observations. Before... Weiterlesen: Shared neural renderer cuts agent learning rounds