Real-World Reinforcement Learning

Online Events
Thu, Jul 16, 11:00 AM (EDT)

About this event

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.

Thomas Simonini (Research Scientist at Dataiku) will discuss the current state of the industry and present some of the latest applications of Reinforcement Learning in business.

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.

Speaker

  • Thomas Simonini

    Thomas Simonini

    Dataiku

    Research Scientist

    Thomas Simonini is a Research Scientist at Dataiku, and specializes in Reinforcement Learning. Before that, Thomas created the Deep Reinforcement Learning Course, a free and open-source course to master the skills and architectures needed to become a deep reinforcement learning expert. (https://simoninithomas.github.io/Deep_reinforcement_learning_Course/)

    Read More
  • When

    Thursday, Jul 16
    11:00 AM - 12:00 PM (EDT)