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artem_zholus

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Interactive embodied agents for Human-AI collaboration

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failed 196477
failed 196475

ASCII-rendered single-player dungeon crawl game

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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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Use an RL agent to build a structure with natural language inputs

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failed 196477
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graded 194819

Language assisted Human - AI Collaboration

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NeurIPS 2022 IGLU Challenge

Definition of action space

Over 3 years ago

Hello,

Sorry for the long reply. The placement action key controls placing/breaking blocks in the gridworld. The mapping is the following: 0 - noop, 1 - place block, 2 - break block.

I hope this helps.

Baselines code

Over 3 years ago

Hello,

Yes, there is a trained baseline to be released soon. We expect to release it by the end of the warm-up round.

In the meantime, I suggest you get familiar with the idea behind our baseline by studying the RL env paper: https://arxiv.org/pdf/2206.00142.pdf
And the WIP baseline codebase: https://github.com/iglu-contest/iglu-2022-rl-baseline
Please note that since this code is not been officially released yet, it is not guaranteed to work properly.

artem_zholus has not provided any information yet.