Rapid Fire on Artificial Intelligence

The solution for a reinforcement learning problem can be achieved using the Markov decision process or MDP. Hence, MDP is used to formalize the RL problem. It can be said as the mathematical approach to solve a reinforcement learning problem. The main aim of this process is to gain maximum positive rewards by choosing the … Read more

The intelligent agent can be any autonomous entity that perceives its environment through the sensors and act on it using the actuators for achieving its goal. These Intelligent agents in AI are used in the following applications: Information Access and Navigations such as Search Engine Repetitive Activities Domain Experts Chatbots, etc. An intelligent agent in … Read more

Below are the top five programming languages that are widely used for the development of Artificial Intelligence: Python Java Lisp R Prolog Among the above five languages, Python is the most used language for AI development due to its simplicity and availability of lots of libraries, such as Numpy, Pandas, etc. The programming language(s) used … Read more

Deep learning is a subset of Machine learning that mimics the working of the human brain. It is inspired by the human brain cells, called neurons, and works on the concept of neural networks to solve complex real-world problems. It is also known as the deep neural network or deep neural learning. Some real-world applications … Read more

Q-learning is a popular algorithm used in reinforcement learning. It is based on the Bellman equation. In this algorithm, the agent tries to learn the policies that can provide the best actions to perform for maximining the rewards under particular circumstances. The agent learns these optimal policies from past experiences. In Q-learning, the Q is … Read more