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 could change all of that. See how. Artificial intelligence has one major flaw, you have to reprogram it when a mistake has been made.

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments.

Reinforcement Learning (RL): A machine learning paradigm in which agents learn to make decisions by performing actions and receiving feedback in the form of rewards or penalties.

Boston Dynamics and the Robotics & AI Institute (formerly The AI Institute) have formed a partnership to advance humanoid robots through reinforcement learning. Together, the two organizations ...

Amazon today launched SageMaker Reinforcement Learning (RL) Kubeflow Components, a toolkit supporting the company’s AWS RoboMaker service for orchestrating robotics workflows. Amazon says that ...

NVIDIA's new AI model trains robots to move like LeBron and Ronaldo Meta's $33 billion loser now looks like a winner Casetify were a little too inspired by Dbrand's X-ray skins and now it's ...