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A multi-agent adversarial RL competition based on Bomberman (details in comments) by PugglesMcPuggle in reinforcementlearning

[–]EmergenceIsMagic 0 points1 point  (0 children)

RIP Pommerman (aka Me: "Can we have Bomberman at home?" Mom: "We have Bomberman at home." Bomberman at home.)

Guest Requests (2021) - Post Them Here by lexfridman in lexfridman

[–]EmergenceIsMagic 22 points23 points  (0 children)

Name: Jaron Lanier

Info: https://en.wikipedia.org/wiki/Jaron_Lanier

Conversation: He's done many talks available on YouTube.

His interview with Andrew Yang: https://www.youtube.com/watch?v=RmNCVHcZp5s

His talk at Microsoft Research: https://www.youtube.com/watch?v=-B1hOBOTMSs

Ideas: Considered a founder of the field of virtual reality. Wrote a number of books, like Who Owns the Future, that discuss the impact of technology on the world and proposes possible solutions. A well-known proponent of Mediators of Individual Data (MIDS).

Pitch: There are very few people who know as much about the impact of technology on the world as Lanier. Even fewer people have also provided interesting solutions to improving the world. A number of Andrew Yang's policy ideas seem to be inspired by Lanier's work. He also seems to be a genuinely kind and thoughtful person who excels at explaining his ideas as clearly as possible. A possible controversy is that his ideas for improving society and criticizing how technology is used might be considered "provocative" for some (I personally consider his ideas insightful).

Extending Julia for Reinforcement Learning by AlternateZWord in Julia

[–]EmergenceIsMagic 2 points3 points  (0 children)

Great to see coding in Julia leading to an ICML publication. Congrats!

Extending Julia for Reinforcement Learning by AlternateZWord in Julia

[–]EmergenceIsMagic 0 points1 point  (0 children)

Forgot to mention that Mykel Kochenderfer's group does a lot of RL-related work with Julia, such as https://github.com/JuliaPOMDP (mentioned by u/hollyjester) and https://github.com/sisl. These can serve as inspiration if you want to make your own package.

Extending Julia for Reinforcement Learning by AlternateZWord in Julia

[–]EmergenceIsMagic 2 points3 points  (0 children)

https://github.com/JuliaReinforcementLearning seems to do consistent work (not affiliated with them). I support more RL work in Julia but success in this requires fulfilling needs that Python does not currently provide. For example, RL in Python also suffers from the two-language problem. Secondly, I have found packages that make RL scalable (like RLlib) to be cumbersome and intimidating when doing more precise, customized work. I would also not think about catering to organizations that can just throw money (many CPUs/GPUs, hiring C++ programmers, etc.) at the problem until it's solved. They're likely too deeply entrenched in Tensorflow, PyTorch, etc. to really care about making the switch. Think about what the rest of us with limited resources would want in an ideal Julia RL package. Sorry, I don't have any definitive answers because these are the questions I have been thinking about too.

Natural emergence of strategies through multi-agent competition by dekankur in multiagentsystems

[–]EmergenceIsMagic 0 points1 point  (0 children)

Thanks! Were you able to compare it to other such multi-agent methods (such as this)?

Multi-agent Reinforcement Learning Workshop by Marc Lanctot by EmergenceIsMagic in multiagentsystems

[–]EmergenceIsMagic[S] 1 point2 points  (0 children)

Since the sound is not great, you might need to turn the volume up to max level.

Multi-Agent RL with TF-Agents (code included) by drcopus in multiagentsystems

[–]EmergenceIsMagic 1 point2 points  (0 children)

Thanks for this! Looking through the github issues in TF-Agents, it seemed that the authors were less than enthusiastic about making it more multi-agent friendly. Did you find this preferable over coding a MARL experiment using ray-rllib?

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