As reinforcement learning matures, it's likely to become a foundational element of intelligent robotics, enabling systems that are not just automated, but truly autonomous.

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

You need a robot running deep reinforcement learning (deep RL) to succeed in robotics. This autonomous, self-learning approach combines RL with deep neural networks to unlock higher levels of ...

Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...

To wrangle the Rubik’s Cube, however, Dactyl didn’t rely entirely on reinforcement learning. It got help from a more conventional algorithm to determine how to solve the puzzle.

Amazon launched a new cloud-based reinforcement learning solution aimed at customers in robotics industries.

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 ...

Indeed, with reinforcement learning, robots will be able to take on even more “human” qualities of discernment and complex decision-making.