How Neural Network Can Be Trained To Play The Snake Game

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…

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