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Platform Engineer

Payoneer Germany

While the idea of biological organisms evolving is familiar to us, the idea of machines “evolving” may be less so. Rarely it is simple to optimize both at the same time, or in an https://thenewstack.io/mit-machine-learning-uses-graph-grammar-to-automate-and-optimize-robot-design/.

While there is already some existing robot co-design software out there, they generally require a lot of time and computational resources.

“We [developed] several robot co-evolution algorithms by combining state-of-the-art design optimization methods and deep reinforcement learning techniques,” explained the team.

“In this way, Evolution Gym provides an easy-to-use platform for co-design algorithms to evolve both robot structure and control to optimize for robots’ task performances,” noted the team.

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