Let's develop our own AI agent
Hemant Rakesh (~hemant56) |
The term "Artificial Intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving". In this workshop I will be demonstrating the concept of reinforcement learning, which is one of the subcategories of AI. And currently the hottest topics in today's AI generation.
You may have noticed that computers can now automatically learn to play ATARI games (from raw game pixels!), they are beating world champions at Go, simulated quadrupeds are learning to run and leap, and robots are learning how to perform complex manipulation tasks that defy explicit programming.
In my opinion the best opensource resource to understand and build AI is OpenAi's gym, which include many pre-built environments as well AI agents suitable for the environments. I will be talking about how one can build their own AI agent given the environment with the help of some "mathmagic" and OpenAI
Basic outline of the talk
- Introduction to AI - [4-5 minutes]
- Key concepts - [2 minutes]
- What is OpenAI ? - [4-5 minutes]
- Milestones of OpenAI - [8-10 minutes]
Building an AI agent using OpenAI - [10-12 minutes]
Q/A - [2 minutes]
Who is this talk for?
- Developers who want to know what AI is, and why it's growing steadily
- The curious folk who want to know how to build one on their own
- A new perspective of AI development
- Use of Opensource resources to revolutionize the field of Artificial Intelligence
- Notes/Material to get started with your own AI agent
- Fundamentals of Probability theory
- Fundamentals of Statistics
- Fundamentals of Differential Calculus
- Basic Python scripting
- What is Artificial Intelligence ?
Hemant Rakesh a final year CSE student at NMIT, Bangalore; has keen interests in deep learning and is a reinforcement learning enthusiast. With prior experience in this field he loves to share his skills and knowledge to the community as he believes - " together we grow ". He also heads the machine learning club at nmit and has authored quite a few AI based blogs on Medium.
Hemant is also a research intern currently working on projects with Biomedical Engineering(10^-6 - 10^9) and Electronic System, Indian Institute of Science, Bangalore. He has a rich experience in computer vision, deep learning, reinforcement learning, neural computing and medical imaging and EEG based computation. Also, he has experience in building software tools in python for Image and neural analysis.
A list of few of my blogs can be found as follows: