- By Anurag Upadhyaya
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 values for all possible combinations of state and action pairs. It is called Q-Learning because it represents the quality of a certain action an agent can take in a provided space.The agents use a Q-table to choose the best action which gives maximum reward to the agent. So, basically the Q-Table acts as a cheat sheet to the agent as it has all the possible combinations for the environment. It is also called model-free because the Q-value is not approximated using any function, it is simply stored inside a table, with row
📣 Want to advertise in AIM? Book here
Anurag Upadhyaya
Experienced Data Scientist with a demonstrated history of working in Industrial IOT (IIOT), Industry 4.0, Power Systems and Manufacturing domain.
I have experience in designing robust solutions for various clients using Machine Learning, Artificial Intelligence, and Deep Learning.
I have been instrumental in developing end to end solutions from scratch and deploying them independently at scale.
Related Posts
Building an AI Economy That Includes Everyone
“What we’re seeing is that accessibility-driven design often solves a broader problem. It’s not charity. It’s engineering.”
Top 10 Companies That Crowned Hyderabad as India’s Greenfield GCC Leader in 2025
Telangana has attracted over 75 greenfield GCCs in 2025, compared with 40-plus in Karnataka.
The AI Coding Gold Rush Ends Where Harness Begins
“Only 30% of software engineering happens on the laptop. The real 70% starts after you commit the code,” says Jyoti
How Gradient-Boosting is Quietly Powering India’s Research Push
From groundwater and slopes to carbon sinks, tools like CatBoost are enabling Indian scientists to extract insights and drive sustainability.
India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
This Firm Wants to be the ‘Next Big Disruptor’ in Networking
Arrcus positions itself as a horizontal software layer that can run across different types of networking hardware.
Will 2026 be the year of AI IPOs?
With CoreWeave’s listing and Fractal Analytics going for an IPO, an array of AI companies are now looking to raise
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
Download the easiest way to
stay informed
stay informed
