Fwd: This Friday [Indabaš¯•¸] Playing StarCraft and saving the world using multi-agent reinforcement learning!

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Christopher Currin

Oct 28, 2021, 7:57:46 AMOct 28
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This may be of interest to many of you

---------- Forwarded message ---------
From: Deep Learning IndabaX South Africa <in...@indabax.co.za>
Date: Mon, 25 Oct 2021 at 13:41
Subject: [Indabaš¯•¸] Playing StarCraft and saving the world using multi-agent reinforcement learning!
To: Chris Currin <chris....@gmail.com>

Indabaš¯•¸ 2021 Roadshow

InstaDeep AI company

Playing StarCraft and saving the world using multi-agent reinforcement learning!

"This is my C-14 Impaler gauss rifle! There are many like it, but this one is mine!"
A terran marine

If you have never heard of a terran marine before, then you have probably missed out on playing the very engaging and entertaining strategy computer game, StarCraft. However, donā€™t despair, because what we have in store might be even more exciting! In this interactive session, we will take you through, step-by-step, on how to train a team of terran marines to defeat a team of marines controlled by the built-in game AI in StarCraft II. How will we achieve this? Using multi-agent reinforcement learning (MARL).

MARL is a useful framework for building distributed intelligent systems. In MARL, multiple agents are trained to act as individual decision-makers of some larger system, while learning to work as a team. We will show you how to use Mava (
https://github.com/instadeepai/Mava), a newly released research framework for MARL to build a multi-agent learning system for StarCraft II. We will provide the necessary guidance, tools and background to understand the key concepts behind MARL, how to use Mava building blocks to build systems and how to train a system from scratch.

We will conclude the session by briefly sharing various exciting real-world application areas for MARL at InstaDeep, such as large-scale autonomous train navigation and circuit board routing. These are problems that become exponentially more difficult to solve as they scale. Finally, we will argue that many of humanityā€™s most important practical problems are reminiscent of the ones just described. These include, for example, the need for sustainable management of distributed resources under the pressures of climate change, or efficient inventory control and supply routing in critical distribution networks, or robotic teams for rescue missions and exploration. We believe MARL has enormous potential to be applied in these areas and we hope to inspire you to get excited and interested in MARL and perhaps one day contribute to the field!"

Spatiotemporal coordinates

29nd Oct 14:00 - 16:00 SAST

sign up now

3 weeks left for the Roadshow rewards

Our competitions close on the 12th November!

We have R20 000 for the hackathon and 4 x R10 000 prizes for coding, research, engagement, and passion for a total of R60 000 that needs to be won!

Enter now

Of special note is

InstaDeep's Extraordinary Engagement | R10k

Which rewards those who have demonstrated extraordinary efforts in strengthening and growing the South African machine learning community.

share your community engagement

Upcoming events of the IndabaX roadshow:

5th Nov - Data Science for Social Impact at University of Pretoria

Data Science for Society

5th Nov - School for Data Science and Computational Thinking

Launch of the School for Data Science and Computational Thinking at Stellenbosch University

19th Nov - LifeQ

From sensors to health data analysis

26th Nov - Award giving and grand finale

Dates and times are subject to change, keep up to date on our website and forum.

For more information on the Indabaš¯•¸ 2021 Roadshow, visit indabax.co.za or find us on social media.

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We thank our awesome Indabaš¯•¸ 2021 sponsors:

Deep Learning Indaba
Spatial Edge
Zindi hackathon platform
DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences
AI Expo Africa
AI Media
IBM Research
AI Driven investment fund
Data Prophet
Ashanti AI data science specialist
Venues for Conferences in Africa

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Christopher Currin, PhD

NOMIS Fellow at IST Austria

Postdoc in the Vogels group

chriscurrin.com | /ChrisCurrin | $christophercurrin | @ChrisCurrin

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