Researchers have developed an Artificial Intelligence (AI) system that enables a four-legged robot to adapt its gait to ...

Specifically, this new work reveals that reinforcement learning, widely used in the field of control and robotics, as well as in the development of tools related to natural language processing ...

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

The architecture employs two loops: an outer loop using GPT-4 for refining the reward function, and an inner loop for reinforcement learning to train the robot's control system.

For example, a pair of robot legs called Cassie taught itself to walk using reinforcement learning, but only after it had done so in a simulation. “The problem is your simulator will never be as ...

To achieve such complex movements, Disney Research devised a reinforcement learning-based architecture to control the robot's movements. During reinforcement learning, the animation input by the ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...