Introduction to Q Learning with gymnasium

[indiVar0508]

Title of the talk

Introduction to Q Learning with gymnasium

Description

Q learning is a reinforcement learning algorithm used to build simple agents to learn and evolve in environment (be it game or some business specific environment) the talk intends to give a brief overview of working of algorithm, high level overview of deep Q networks and a small demo on how one can play around with it with gymnasium.

What format do you have in mind for your talk?

Talk

Table of contents

• Introduction to Reinforcement Learning
• Common terminologies / Lingo
• What is Q learning?
• What is DQN and when is it needed?
• Demo with gymnasium [5-8 mins]

What domain would you say your talk falls under?

AI

Duration in minutes (including Q&A)

30

Prerequisites

No response

Speaker bio

Hi I am Indivar, I am passionate about RL and making small 2d games, I do some opensource and learn new things. I currently work as a Software Engineer 2

Linkdin: https://www.linkedin.com/in/indivar-mishra/ github: https://github.com/indiVar0508 twitter: https://x.com/indimishra08

The talk/workshop speaker agrees to

• [X] Share the slides, code snippets and other material used during the talk

• [X] If the talk is recorded, you grant the permission to release the video on BangPyper's YouTube channel under CC-BY-4.0 license

• [X] Not do any hiring pitches during the talk and follow the Code of Conduct

[nvs-abhilash]

@indiVar0508 are you available to present it on 23rd Nov 2024?

[indiVar0508]

I can present