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

Deep reinforcement learning produces robust locomotion policies for legged robots over challenging terrains. To date, few ...

Legged robots, which are often ... The new reinforcement learning framework Teng and his colleagues developed could soon open new possibilities for the real-world deployment of legged robots.

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 ...

The new suite provides developers with structured guidance across key areas of robotics, from modular architecture design to ...

The last stronghold of human labor in warehouses – the grueling job of loading and unloading trucks – is rapidly giving way ...

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

This method, known as reinforcement learning, allows the robot to learn and improve its skills over time. The current project involves a robotic hand learning to turn a cube.