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A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...
Humanoid robots have not stood up to the expectation set forth by Rosie from The Jetsons in the 1960s, but they’re finally becoming good enough to come to market.
As the race to bring humanoid robots into the workplace and the home heats up, manufacturers are often keen to show off newly ...
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IEEE Spectrum on MSNDeepMind’s Quest for Self-Improving Table Tennis AgentsThe authors express their deepest appreciation to the Google DeepMind Robotics team and in particular David B. D’Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Alex Bewley and Krista Reymann ...
Artificial intelligence has one major flaw, you have to reprogram it when a mistake has been made. Deep reinforcement learning could change all of that. See how.
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AZoRobotics on MSNAnimal-inspired AI robot learns to navigate unfamiliar terrainResearchers have developed an Artificial Intelligence (AI) system that enables a four-legged robot to adapt its gait to ...
A team of researchers from NVIDIA, ETH Zurich, and the University of Toronto open-sourced Orbit, a simulation-based robot learning framework. Orbit includes wrappers for four learning libraries, a sui ...
Reinforcement learning allows underwater robots to locate and track objects underwater This is the main conclusion of a study led by the ICM-CSIC recently published in the prestigious journal ...
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