Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Kumar says those types of scenarios partly inspired the idea of the triple backflip. Engineers can control each individual ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

The new reinforcement learning framework Teng and his colleagues developed could soon open new possibilities for the real-world deployment of legged robots.

News Release 13-Dec-2023 Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands Peer-Reviewed Publication Beijing Zhongke Journal Publising Co. Ltd.