Two recent papers in Science Robotics highlight how that type of AI — called reinforcement learning — could make such robots a reality. “We’ve seen really wonderful progress in AI in the ...

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 ...

In tandem with reinforcement learning (RL), intrinsic motivation allows robots to autonomously acquire knowledge about their environment, developing skills that can later be fine-tuned for ...

A robot’s goal might be to assist its human owner with household chores. The reinforcement learning problem in AI is how to design agents that achieve their goals by perceiving and acting in ...

have formed a partnership to advance humanoid robots through reinforcement learning. Together, the two organizations will establish a shared reinforcement learning training pipeline for the new ...

The new reinforcement learning framework Teng and his colleagues developed could soon open new possibilities for the real-world deployment of legged robots. For instance, it could allow them to ...

Once again, more than pure supervised learning is required. You need a robot running deep reinforcement learning (deep RL) to succeed in robotics. This autonomous, self-learning approach combines ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in ... interesting way to teach AI: clustered reinforcement learning (CRL). Instead of wandering around ...

IT’S CALLED REINFORCEMENT LEARNING. IT’S SIMILAR TO HOW YOU WOULD TRAIN A DOG, SO WE GIVE IT A REWARD. IF THE ROBOT IS ABLE TO ROTATE THE CUBE THIS WAY, THEN WE GIVE IT A REWARD. POSITIVE REWARD.