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moksh_jain
Moksh Jain

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National Institute of Technology Karnataka

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LΓΌneburg, DE

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Challenges Entered

Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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Multi-Agent Reinforcement Learning on Trains

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graded 21047
graded 21046
graded 21045

Sample-efficient reinforcement learning in Minecraft

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Robots that learn to interact with the environment autonomously

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Multi-Agent Reinforcement Learning on Trains

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  • mj10 NeurIPS 2019 : MineRL Competition
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NeurIPS 2019 : Disentanglement Challenge

Thanking the organizers

Over 4 years ago

Hey,
I just wanted to take a moment to thank all the organizers for this wonderful contest. Right from a very nicely structured contest to prompt help in case of issues.

As someone new to the world of disentangled representations, this was a great learning experience and a lot of fun.

Can I use pytorch or only tensorflow is available?

Over 4 years ago

Hi, there is an open PR on the starter-kit repo with support for Pytorch. You can check that out.
https://github.com/AIcrowd/neurips2019_disentanglement_challenge_starter_kit/pull/6

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