Reinforcement learning is a type of machine learning that is concerned with how software agents ought to take actions in an environment in order to maximize some notion of cumulative reward. The problem is formally described by the Markov decision process (MDP).RL algorithms are used in autonomous vehicles, robotics, fault detection, telecommunications, and many other…
Tag: robotics
Robotics
The problem of robotics is one that has been tackled by a number of different AI paradigms over the years. However, the current state of the art is still far from being able to create robots that are able to operate in unstructured environments as effectively as humans can. This is largely due to the…
Using AI to walk and move like a human
There are many ways that artificial intelligence (AI) can be used to create systems that walk and move like humans. One approach is to use machine learning algorithms to automatically generate models of human walking and movement. These models can then be used to control robotic systems or to simulate human movement in computer graphics….
Designing AI systems that can make decisions in uncertain or dynamic environments
Artificial intelligence (AI) systems have the ability to make decisions in uncertain or dynamic environments. This ability is based on the ability of AI systems to learn from data and to create models of the world that can be used to make predictions about future events. There are many potential applications of AI systems that…