In version 0.8 of ML-Agents, we introduced the ability to train agents using multiple Unity instances on a single machine. We worked with our partner JamCity to train agents to play levels of their bubble shooter game, Snoopy Pop, and showed that this improvement enabled agents to be trained 7.5x faster than a single instance. [...]
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