The first author is Fan Yucheng, a PhD student at Shanghai AI Lab, whose research focuses on agents and reinforcement ...

Recently, Shanghai Qing Tong Vision Technology Co., Ltd. announced a patent titled "A Finger Capture Device and Method for Enhanced Learning in Humanoid Robots," which was authori ...

For example, a constrained multi-objective deep reinforcement learning approach has been introduced to optimise complex industrial processes, such as temperature field management in zinc oxide ...

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

Reinforcement learning is thought by many to be the next big thing in AI, but not everyone’s convinced of its potential. Former ...

If your AI can’t learn from its mistakes, it’s not intelligent — it’s obsolete. Logging isn’t a risk. It's the price of ...

Motion imitation approaches can achieve highly dynamic motions, but are limited by the complexity of the system and lack of adaptability to task objectives. Techniques based on reinforcement learning ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI ...