A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
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 ...
In this talk I will discuss first solutions to some of the challenges we face in developing online reinforcement learning (RL) algorithms for use in digital health interventions targeting patients ...
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 ...
Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...
Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results