Last updated: Feb 22, 2022

Reinforcement Learning

Another machine learning technique that aids in achieving a better and more accurate output is reinforcement learning. This strategy improves a model's decision-making and decision-making path.

Introduction to Reinforcement Learning

This article is an overview of Reinforcement learning.

Author Pratyksh_7855

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Markov Decision Process

In this blog, we will learn about the Markov Decision Process.

Author Anant Dhakad

1 upvote

Q-Learning

The primary objective of this article is to understand Q-learning.

Author Tashmit

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Epsilon Greedy Algorithm

This article aims to throw some light on the epsilon greedy algorithm.

Author Tashmit

1 upvote

What is a Genetic Algorithm?

Understand genetic algorithms: their foundations, steps, operations, and applications. Discover the pros, cons, and examples of genetic algorithms in AI with FAQs.

Author Chaturvedi

1 upvote

TradeOffs like Exploration vs. Exploitation

This blog aims to understand tradeoffs like exploration and exploitation.

Author Tashmit

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Introduction to the Actor-Critic Model MEDIUM

In this article, we will discuss the actor-critic method, model-free and policy-based reinforcement learning, pseudo-code to the actor-critic method, and implementation of the Cartpole game.

Author Shubham Agarwal

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Real-life Applications of Reinforcement Learning

This blog walks you through on real-life applications of RL agents to give you an insight into just how powerful it is.

Author Arun Nawani

1 upvote

Drawbacks of Unsupervised Learning EASY

This article will take you through Unsupervised Learning and its drawbacks.

Author Prakriti

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