Reinforcement learning helps this humanoid robot navigate the world | Science News
This bipedal robot learned to handle a variety of physical challenges, including walking on different terrains and being bumped off balance by an exercise ball. Part of the robot’s training involved a transformer model, like the one used in ChatGPT, to process data inputs and learn and decide on its next movement.
Read more:
Video: Ilija Radosavovic