At the present scenario, video games portray a crucial role when it comes to AI and ML model development and evaluation. This methodology has been around the corner for a few decades now. The custom-built Nimrod digital computer by Ferranti…
Hands-On Guide to Understand and Implement Q – Learning
Q-Learning is a traditional model-free approach to train Reinforcement Learning agents. It is also viewed as a method of asynchronous dynamic programming. It was introduced by Watkins&Dayan in 1992. Q-Learning Overview In Q-Learning we build a Q-Table to store Q…
The Gaming Industry Is Revolutionising Artificial Intelligence, One Win At A Time
Today, artificial intelligence is dominating most of the games — from board games to interactive fiction games. They are providing complex, decision-making environments for AI to experiment with. The ability of games to provide interesting and complex problems, offering creativity…
Beginners Guide To Reinforcement Q-Learning
Q-Learning is a reinforcement learning technique. It has the ability to compute the utility of the actions without a model for the environment. It takes the help of action-value pair and the expected reward from the current action. During this…