Google DeepMind has successfully trained small robots to play soccer using deep reinforcement learning. The researchers have adapted this machine learning technique to teach bipedal robots the sport. While previous experiments focused on quadrupedal robots, this study demonstrates the potential for humanoid machines.
Google DeepMind has successfully trained small robots to play soccer using deep reinforcement learning . The researchers have adapted this machine learning technique to teach bipedal robots the sport. While previous experiments focused on quadrupedal robots, this study demonstrates the potential for humanoid machines . The robots are shown dribbling, defending, and shooting goals in new footage.
DeepMind, known for its success in games like chess and go, is now applying its expertise to physical tasks. Engineers developed and trained the robots in computer simulations before transferring the skills to the physical playing field
Google Deepmind Robots Soccer Deep Reinforcement Learning Machine Learning Humanoid Machines
United Kingdom Latest News, United Kingdom Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Google DeepMind co-founder joins Microsoft as CEO of its new AI divisionMustafa Suleyman, the co-founder of Google DeepMind, is joining Microsoft as the CEO of a new AI team that handles consumer products like Copilot, Edge, and Bing.
Read more »
Google DeepMind's New AI Model Can Help Soccer Teams Take the Perfect CornerTacticAI, a soccer AI model created by Google DeepMind, makes predictions about where corners will go, and suggests tweaks to make goals more—or less—likely.
Read more »
Google DeepMind Develops AI Program for Goat Simulator 3Google DeepMind reveals SIMA, an AI program capable of learning and completing tasks in Goat Simulator 3 and other games. SIMA adapts its knowledge from playing other games to perform tasks in new games, showcasing the potential of AI advancements.
Read more »
Google DeepMind Unveils SIMA, an AI Agent Trained to Play Video Games Like a HumanGoogle DeepMind has introduced SIMA, an AI agent designed to learn gaming skills and play video games in a more human-like manner. SIMA is currently in the research phase and aims to eventually learn how to play any video game, including open-world games. It is not intended to replace existing game AI but rather act as another player that can seamlessly integrate with a human party. SIMA combines natural language instruction, 3D world understanding, and image recognition. Google collaborated with several game developers to train and test SIMA on games like No Man’s Sky, Teardown, Valheim, and Goat Simulator 3.
Read more »
Google DeepMind's new AI can follow commands inside 3D games it hasn't seen beforeKris Holt joined Engadget as a contributing reporter on the news desk in 2018. He has been writing about technology, games, streaming and entertainment for over a decade after starting his career as a sub-editor on a local newspaper. Kris holds a Master of Arts degree in English from the University of Dundee.
Read more »
Google DeepMind’s Latest AI Agent Learned to Play 'Goat Simulator 3'These AI agents can adapt to games they haven't played before. Google made them by feeding data on how humans play different video games to a language model like those behind the latest chatbots.
Read more »