The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

The case of Boston Dynamics' Spot once again validates the crucial role of AIin the development of robotics technology. Reinforcement lear ...

We've seen robot dogs run up hills with luggage, and help fight fires. Now, researchers at Switzerland's ETH Zurich are ...

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

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 ...

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 ...

Researchers from Google and UC Berkeley published work earlier this year that showed a robot learning how to walk by mimicking a dog’s movements using a technique called imitation learning ...

Dactyl figures out how to manipulate something using reinforcement learning, which trains a neural network to control the hand based on extensive experimentation.