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: autonomous-vehicles
Using AI to drive a car as well or better than a human driver
Today, AI is being used in a variety of ways to help improve the safety and efficiency of driving. One way is by helping drivers avoid accidents through the use of advanced driver assistance systems (ADAS). ADAS use sensors, cameras, and GPS to navigate and avoid potential accidents. These systems are constantly learning and improving…
Systems that can autonomously drive vehicles
Despite the challenges, AI systems that can autonomously drive vehicles hold great promise. If these challenges can be overcome, AI-powered vehicles have the potential to make our roads safer, more efficient, and more convenient. The potential benefits of autonomous vehicles are numerous. Perhaps most notably, autonomous vehicles have the potential to increase safety on our…