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 ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
A fusion strategy based on deep reinforcement learning that integrates the abilities of doctors and robots to address position-based soft tissue deformation manipulation tasks. All three proposed ...
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 ...
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 ...
Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback