An Introduction to Reinforcement Learning

On July 16th, @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.

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.

If you would like to participate please do register now!

For the curious here is some more information around Reinforcement Learning:

• Curiosity-Driven Learning Through Next State Prediction
• Reinforcement Learning Course (Dataiku Academy)
• Resources in Reinforcement Learning
• An Introduction to Unity ML-Agents (Towards Data Science)
• Reinforcement Learning in DSS (Plugin)
• Community Conundrum 11: Reinforcement Learning - Wall Jump Agent