For example ... specifically, reinforcement learning, which allows the identification of the best points and, therefore, the optimal trajectory to be performed by the robot, becomes important.

Danijar Hafner and colleagues at the University of California, Berkeley, used an AI technique called reinforcement learning, which trains algorithms by rewarding ... example, a pair of robot ...

ETH Zurich’s AI robot ANYmal-D plays badminton using RL-based control, combining vision, locomotion, and precise arm movements.

Reinforcement learning serves as the foundation of Figure AI’s approach to humanoid locomotion. This machine learning technique enables robots to learn through trial and error, guided by reward ...

A groundbreaking approach rooted in artificial intelligence, specifically reinforcement learning, empowers robots to navigate ... completion component into the reward system, Cassie is ...

Reinforcement learning is ... billions of different examples. While they are much more sophisticated and elaborate, they still follow the same fundamental approach of reward and punishment.

[Related: How researchers trained a budget robot dog to do tricks.] “Reinforcement learning has enabled impressive wins over the last decade, yet many challenges still exist, such as reward ...

Animal trainers know that animal behavior can be influenced by rewarding ... A robot’s goal might be to assist its human owner with household chores. The reinforcement learning problem in ...