Meta Arcade Trains AI to Adapt Through Video Games

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Meta Arcade, a suite of arcade games that can be configured and used as training tasks for deep reinforcement learning, was created by a team at Johns Hopkins APL under the Defense Advanced Research Projects Agency (DARPA) Lifelong Learning Machines (L2M) program.

“We needed to develop a tool like Meta Arcade to study and advance our AI research,” said Bart Paulhamus , chief of APL’s Intelligent Systems Center. “By releasing it to the public, APL is accelerating the development of trusted AI for our nation’s most critical challenges. Now, AI researchers can focus their time on AI research, not tool development.”




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