Artificial Intelligence: we talk about it more and more often and it now finds many applications in the business field; but what do we really know ...?
To increase and improve basic knowledge on #AI sharedVISION invites you to a cycle of five free webinars I'm going to give to the community this winter.
https://lnkd.in/d2WcF2D
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In 2015, The Georgia Institute of Technology organized and published this clever
Autonomous Multirobot Systems Course
A lot of AI and robotics studies and experiences about:
- Multiagent architectures.
- Communication, cooperation and coordination in multirobot systems.
- Diversity.
- Taxonomies of multirobot systems and tasks.
- Adversarial domains including robot soccer.
- Example biological multiagent systems.
- Multirobot learning.
Liked it very much.
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Trying to apply different MARL theories on different dynamic, partially cooperative environments..
Here is a short Paper list of multi-agent reinforcement learning (MARL) by Lan Tao Yu
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Schedule of classes 2018-2019 @deib@polimi on this theme, with references to reading material and other readings.
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Virtualab has been inactive for a long time.
Nevertheless, the Lab activities continued fruitfully in a less showy way on other channels.
Now it's time to post again.
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