π Flatland Workshop
HiddenMulti-Agent Reinforcement Learning on Trains
π« AMLD in-person workshop on EPFL campus
09:00-17:00, September 29 @ 4A β STCC, EPFL Campus, Lausanne, Switzerland
Timeline
Part 1 β Introduction to RL / environment
- 09:00am Workshop Intro Slides
- 09:00am What is RL? Slides
- 10:00am The Flatland environment Slides/Notebook
- 10:30am DQN intro Slides/Notebook
- 11:30am Submitting to AIcrowd Slides
- 12:00pm Lunch Break ππ₯€
Part 2 β Modern RL methods
- 01:30pm Curiosity Slides/Notebook
- 03:00pm Other AIcrowd competitions Slides
- 04:45pm Wrap-up & Beers π»πΉ Slides
Resources
Credits
Authors: @MasterScrat, @metataro, @YanickSchraner, @mcschneider @fouweric
Contributors: @spMohanty
Part of this work was supported by the EPFL Extension School and AIcrowd.
Participants
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