NTUOSS TGIFHacks #114 – Introduction to Reinforcement Learning

Reinforcement Learning is an upcoming and highly specialized Machine Learning paradigm where a computer learns to interact with the environment in the absence of training data and improves itself from the experiences that occur. With common applications in Chemistry and Robotics, learn the fundamental concepts behind Reinforcement Learning and its associated algorithms. In addition, as a hands-on exercise, we will teach a computer how to play a mini-game.

About the Speaker:

Jay Gupta is a 3rd year Computer Science undergraduate currently serving as the Vice Chairman of the NTUOSS HackOSS Committee. He has a keen interest in Machine Learning and Artificial Intelligence, and has published a number of articles on Towards Data Science (Medium) and HackerNoon publication on the two topics. He is currently interning with SAP as a Software Engineer in the Intelligent Enterprise Solutions department.

Technical Prerequities:

• Python – beginner to intermediate

Dependencies:

• Python 3
• Any IDE of your choice (Jupyter Notebook preferred) 

The link to the Microsoft Teams stream will be sent after 4pm on the day of the event.