OpenAI Product Presentation Deck

Before Deep RL is limited to games and other perfectly-simulatable problems Dactyl (2018) The result 1.5M-parameter LSTM, trained in simulation by the OpenAl Five training system & learning algorithm, deployed on a physical robot hand to manipulate a cube After Deep RL can cross reality gap given only a "good enough" simulator at training time GOAL 1

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