The Conference for Machine Learning Innovation

Playing Doom with TF-Agents and TensorFlow 2.0

Session
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Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
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Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos

During recent years, enormous advances in Reinforcement Learning (RL) have been showcased by DeepMind, OpenAI and others. Their AIs achieve similar-to-human or even super-human capabilities in various games including Atari games, the Chinese board game Go, Dota 2 and Starcraft. Although major Deep Learning frameworks reached new levels of maturity and usability when employing Supervised Learning, developing RL solutions often remains hard to get started and even harder to get right. In this talk we will look at the new TF-Agents framework simplifying development of RL solutions with TensorFlow 2.0 drastically. On the example of an AI playing Doom, we will present the relevant steps and code parts to get you started.

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von SingaporeSingapore . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session Diese Session originates from the archive of stammt aus dem Archiv von SingaporeSingapore . Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Singapore Singapore or oder Berlin Berlin .

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