Specifically, this new work reveals that reinforcement learning, widely used in the field of control and robotics ... difficult to achieve otherwise. For example, we have been able to demonstrate ...

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 ...

CMU's FALCON system helps humanoid robots walk steadily and handle tough forceful tasks like cart-pulling and door-opening.

Reinforcement learning serves as the foundation of Figure ... learned behaviors are both versatile and reliable. For example, robots are trained to navigate surfaces ranging from smooth indoor ...

RL is widely used in fields such as robotics, game playing, and autonomous systems, where dynamic decision-making is essential. Examples of Reinforcement Learning: High computational cost ...

A small team of roboticists at Robotic Systems Lab, ETH Zurich, in Switzerland, has designed, built and tested a four-legged robot capable of playing badminton with human players.

A robot can sense its surroundings with ... Lee Sedol in a five-match game in 2016. A more recent example is the use of reinforcement learning to make chatbots such as ChatGPT more helpful.

For this work, Gunnarson returned to an old friend in the lab: CARL-Bot (Caltech Autonomous Reinforcement Learning roBot ... Soaring birds, for example, will often take advantage of strong ...

His current interest is reinforcement learning on a tiny scale. He came down to the 2023 Hackaday Supercon to tell us all about his work.