Power of reinforcement learning.

suhrid datta (~suhriddatta)


Description:

1)The talk will cover an introduction to Reinforcement learning and the implementation of different RL algorithms such as Monte-Carlo technique, Markov decision process, deep q-learning in python. 2)The talk will cover both the implementation and the mathematical aspect of the RL algorithms. 3) In the end, there will be a demonstration of an RL Agent and will also cover the step by step process of it's building.

Prerequisites:

1)Basic python knowledge 2)Basic calculus knowledge 3) Basic idea about deep learning

Content URLs:

1)https://deepmind.com/research/publications/playing-atari-deep-reinforcement-learning/ 2)https://skymind.ai/wiki/deep-reinforcement-learning

Speaker Info:

Suhrid Datta is a 3rd-year undergrad AI researcher of SRM Institute. He has worked in multiple projects related to data science and deep learning. He is well versed with Deep learning and machine learning. He is also a member of the SRM ACM chapter and has given several talks related to Deep learning specifically computer vision techniques. He has also worked under SPARC in collaboration with UC Davis and has worked under several NGOs.

Speaker Links:

1) Github= https://github.com/suhriddatta 2) Linkedin = https://www.linkedin.com/in/suhrid-datta-834863157/

Id: 1193
Section: Data Science, Machine Learning and AI
Type: Talks
Target Audience: Beginner
Last Updated: