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) discussed the current state of the industry and presented some of the latest applications of Reinforcement Learning in business.
Couldn’t make it to the event? Here you can catch up on the talk with the edited video on demand:
Do you have a follow up question? What's your previous experience with Reinforcement Learning? Have you taken a go at the Conundrum on the topic yet? Comment below!