Back in the day, AI was dominated by people from academia or engineers at top companies and required higher mathematics and PhDs to make an impact. With the recent popularization of AI and its introduction to a wider audience, and with the introduction of awesome tools like Gym and Universe, the barrier to entry has been greatly reduced. You just need some cool ideas and a basic familiarity with some coding, and you can dive right in.
Anmol Jagetia explains how to use OpenAI’s Gym and Universe to design bots that can become extremely smart using reinforcement learning. You’ll create a bot that uses reinforcement learning to beat games and learn how to reuse code to beat a set of games that includes Atari classics (Pac-Man or Pong), a Candy Crush clone, and a racing game.
Anmol Jagetia is a software engineer at Media.net, one of the biggest ad tech companies globally, which was recently acquired by a Chinese consortium for $900M USD in the third-largest ad tech deals ever. Anmol is interested in machine learning, deep and reinforcement learning, web technologies, open source software, data science, and introducing people to technology. He has spoken at a number of conferences, including the O’Reilly AI Conference in New York in 2017. He has also authored some popular open source projects such as Flatabulous, which received over 2.2K stars on GitHub and has been downloaded close to a million times. Anmol was part of HPCC as a Google Summer of Code Student and interned at the prestigious Max Planck Institute for Software Systems, Germany, and Complutense University of Madrid, Spain. He graduated from the prestigious Indian Institute of Information Technology, Allahabad. He has also published his research with the IEEE and has forthcoming papers on interesting applied aspects of machine learning.
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