Such simulation training is not just the model dreaming on its own. Rather, it is a transfer of near-real-world complexity into digital form. The shift toward reinforcement learning (RL ...
In recent years major improvements to deep networks, massive increases in compute power, and ready access to data and simulation tools have helped make Deep Reinforcement Learning one of the most ...
Figure's AI-powered controller teaches its humanoid robots to walk more like a human, with subtle improvements in gait and ...
Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...
One of the droids, called Blue, joined Nvidia CEO Jensen Huang on stage during GTC. The robot was highly interactive and ...
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Legged robots skateboard successfully with reinforcement learning frameworkLegged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for ...
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Reinforcement Learning Boosts Factory Layout OptimizationIn an article published in the journal Machines, researchers focused on optimizing factory layouts using production simulation and reinforcement learning. They addressed facility design ...
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