Reinforcement Learning (RL) is a computational approach to learning from action: an agent will interact with its environment, learn from it, perform actions, and receive rewards as feedback for these actions.
Important progress in the field was recently made in academia, from AlphaStar to OpenAI Dexterity - mainly based on video games. However, since RL provides solutions to sequential decision-making problems, more and more industries are starting to use it.
@simonini_thomas (Research Scientist at Dataiku) will discuss the current state of the industry and present some of the latest applications of Reinforcement Learning in business.
Register now to learn more about the event topic and agenda!
This session is open to all data skills and levels. After a brief introduction to the main concepts of RL, Thomas will dive into the current industry applications, and share resources & guidelines for anyone who would like to get started in the field.
The presentation will be followed by a discussion for all participants to share their perspectives on the topic.
What's your previous experience with Reinforcement Learning? Have you taken a go at the Conundrum on the topic yet? Comment below!