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The system, called Dactyl, is trained entirely in simulation and transfers its knowledge to reality, adapting to real-world physics using techniques OpenAI has been working on for the past year. Dactyl learns from scratch using the same general-purpose reinforcement learning algorithm and code as OpenAI Five. The results show that it’s possible to train agents in simulation and have them solve real-world tasks, without physically-accurate modeling of the world. Image/video credits: OpenAI We str
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