EasyAgents: Reinforcement Learning for people who want to solve real-world problems
Level
In this poster session we will both introduce the idea of Reinforcement Learning as well illustrate how Easyagents helps you with getting started with it. EasyAgents wraps reinforcement learning libraries like tf-agents or OpenAI baselines. The API is inspired by Keras and Scikit-learn and aims to get people started with reinforcement learning quickly, without having to learn any details of algorithms. We will show the diagrams and videos that are generated as default. You will also see the complete code for a small example.
Easyagents is free open source can be found here: https://github.com/christianhidber/easyagents

Christian Hidber
bSquare
Christian Hidber is a software engineer at bSquare, where he applies machine learning to industrial hydraulics simulation, part of a product with 7,000 installations in 42 countries. He holds a PhD in computer algebra from ETH Zurich, which he followed with a postdoc at UC Berkeley, where he researched online data mining algorithms.
Presented by
Diamond Sponsor
Elite Sponsors
Gold Sponsor
Supporting Sponsors
Premier Exhibitors
Exhibitors
Innovators
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
sponsorships@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires