THESE DROIDS HOW TO FUNCTION. RIGHT NOW, WE ARE STEPPING BACK INTO THE FUTURE WITH A RARE LOOK INSIDE THE ROBOTICS INSTITUTE AT CMU. THE WORK BEING INVENTED RIGHT HERE IN PITTSBURGH WILL HAVE A MAJOR ...

A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method enables more robust and natural walking control for users of ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The various cutting-edge technologies that are under the umbrella of artificial intelligence are getting a lot of attention lately. As the amount of data we generate continues to grow to mind-boggling ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...