Humanoid robots trained with a particular ... “Soccer is a nice environment to study general reinforcement learning,” says Guy Lever of Google DeepMind, a coauthor of the paper.

DRL, which fuses the strengths of deep learning and reinforcement learning, is increasingly used to support the core ...

Prof Ambuj Tewari from the University of Michigan explains the origins of reinforcement learning and why it’s so valuable in ...

reinforcement learning, which allows the identification of the best points and, therefore, the optimal trajectory to be performed by the robot, becomes important. Neural networks were trained ...

Combining a mixture of artificial intelligence (AI), reinforcement learning ... during assembly to force the robot to react swiftly in a dynamic, unpredictable environment. Despite all this ...

including reinforcement learning (RL) and imitation learning. Orbit can also run control policies on a physical robot, either by using ZeroMQ to send joint commands or by exporting the policy to ...

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