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 ai.googleblog.com
Scalable Deep Reinforcement Learning for Robotic Manipulation - Google Research Blog
| | research.google
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
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| | Posted by Eric Jang, Software Engineer, Robotics at Google and Coline Devin, Berkeley PhD Student and former Research Intern From a remarkably youn...
| | blog.google
What is RT-2? Google DeepMind's vision-language-action model for robotics
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| | Google DeepMind introduces a new vision-language-action model for improving robotics.
| | www.v7labs.com
Deep Reinforcement Learning: Definition, Algorithms & Uses
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| | Deep reinforcement learning (DRL) combines reinforcement learning with deep learning. This guide covers the basics of DRL and how to use it.
| | neptune.ai
Generative Adversarial Networks and Some of GAN Applications: Everything You Need to Know
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| The generative models method is a type of unsupervised learning. In supervised learning, the deep learning model learns to map the input to the output. In each iteration, the loss is being calculated and the model is optimised using backpropagation. In unsupervised learning, we don't feed the target variables to the deep learning model like...