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andrey_zubkov

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Sample-efficient reinforcement learning in Minecraft

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A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning

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NeurIPS 2019: Learn to Move - Walk Around

Maximal repository weight for Docker-commit

Over 4 years ago

Hello, may you say what is the repo volume limit for docker commit?
I’ve tried to push 70mbs repo with my model files, but it failed.
I suppose limit is 50 mbs?
If so - could we obtain model files using wget or something?

Questions about evaluation set up

Over 4 years ago

I’ve investigated such a difference was claimed by my mistake in observation preprocessing, not taking the order difference into attention.
BTW, even after fixing 140-150 mean score got to approx. 20 by the cause of difference in initial state for evaluation environment. Hope, now there would be no such issue…

Different reward on local and remote environments

Over 4 years ago

While trying to commit the solution obtaining completely different scores(~5 vs 100-180) on remote environment comparing to local one.
Local is osim-rl 3.0.6, which seems to be the latest.
Model setup is round 1 - difficulty 2, model=β€˜3D’

How could that be?

Questions about evaluation set up

Over 4 years ago

@smsong, BTW, I’ve just received more than 100 mean reward for my local environment with all default Round 1 properties, and when submitted at server environment - got exactly 52 steps at each run and 5 mean reward in total.
How could that be possible?

Let me know, if you need any specific info to investigate.

andrey_zubkov has not provided any information yet.