A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
Recently, Efort (688165) has achieved another success in the field of innovation by obtaining an invention patent titled "A Control Method for Snake Robots Based on Reinforcement Learning." According ...
In August 2025, Shanghai Hong Yichang Industrial Co., Ltd. applied for a patent titled "Robot Decision-Making Method Based on Deep Reinforcement Learning." This move indicates that deep reinforcement ...
Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...
Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Reinforcement learning (RL) is a powerful type of artificial intelligence ...
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 ...
Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback