Speeding Up Reinforcement Learning with a New Physics Simulation Engine

Posted by C. Daniel Freeman, Senior Software Engineer and Erik Frey, Staff Software Engineer, Google ResearchReinforcement learning (RL) is a popular method for teaching robots to navigate and manipulate the physical world, which itself can be simplified and expressed as interactions between rigid bodies1 (i.e., solid physical objects that do not deform when a force is applied to them). In order to facilitate the collection of training data in a practical amount of time, RL usually leverages sim...

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