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karolisram 175

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Challenges Entered

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

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graded 74879
graded 70247
graded 70246

Sample-efficient reinforcement learning in Minecraft

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graded 25413
graded 25412
graded 25075

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

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graded 8563
graded 8534
failed 8533
Gold 1
EulerLearner
May 16, 2020
Silver 0
Bronze 2
Trustable
May 16, 2020
Newtonian
May 16, 2020

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  • May 16, 2020

  • May 16, 2020
  • Has filled their profile page
    May 16, 2020

  • May 16, 2020

  • May 16, 2020

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  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020
  • Kudos! You've won a bronze badge in this challenge. Keep up the great work!
    Challenge: NeurIPS 2019 : MineRL Competition
    May 16, 2020
  • Great work! You're one of the top participants in this challenge. Here's a gold badge to celebrate the acheivement.
    Challenge: Unity Obstacle Tower Challenge
    May 16, 2020
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NeurIPS 2020: Procgen Competition

How to save rollout video / render?

About 15 hours ago

Does it work properly for everyone else? When I run it for 100 episodes it only saves episodes number 0, 1, 8, 27, 64.

Same marks on the testing video

About 1 month ago

It’s the paint_vel_info flag that you can find under env_config in the .yaml files. There are also some flags that are not in the .yaml files, but people are using (use_monochrome_assets, use_backgrounds). You can find all of them if you scroll down here: https://github.com/openai/procgen .
Should we actually be allowed to change the environment? Maybe these settings should be reset when doing evaluation?

NeurIPS 2020: MineRL Competition

Error using gym.make

12 days ago

Working Colab example (credit to @tviskaron):

!java -version
!sudo apt-get purge openjdk-*
!java -version
!sudo apt-get install openjdk-8-jdk

!pip3 install --upgrade minerl
!sudo apt-get install xvfb xserver-xephyr vnc4server
!sudo pip install pyvirtualdisplay

from pyvirtualdisplay import Display
display = Display(visible=0, size=(640, 480))
display.start()

import minerl
import gym
env = gym.make(‘MineRLNavigateDense-v0’)

obs = env.reset()
done = False
net_reward = 0

for _ in range(100):
action = env.action_space.noop()

action['camera'] = [0, 0.03*obs["compassAngle"]]
action['back'] = 0
action['forward'] = 1
action['jump'] = 1
action['attack'] = 1

obs, reward, done, info = env.step(
    action)

net_reward += reward
print("Total reward: ", net_reward)

env.close()

Unity Obstacle Tower Challenge

Submissions are stuck

About 1 year ago

There was a mention about the final standings for round 2 being based on more seeds than 5 to get a proper average performance. Is that going to happen? I didn’t try to repeatedly submit similar models to overfit the 5 seeds for that reason.

Is there any due date of GCP credit?

About 1 year ago

mine says it expires 28 May 2020, not sure if that’s a set date or depends on when you redeem. I can’t find the date of when I redeemed.

Successful submissions do not appear on the leaderboard

About 1 year ago

Is the debug option off?

What reward receives the agent for collecting a key?

Over 1 year ago

0.1, same as a single door (there’s 2 doors in each doorway).

Announcement: Debug your submissions

Over 1 year ago

And I was thinking I’m going mad when my previously working submission suddenly broke after “disabling” debug :slight_smile:

Submission Failed: Evaluation Error

Over 1 year ago

Can’t wait! I’ve been trying to get my dopamine trained agent to be scored (only 5-7 floors so far), but the only response I get after every change is
The following containers terminated prematurely. : agent
and it’s not very helpful. It builds fine, but gets stuck on evaluation phase.

Human Performance

Over 1 year ago

In the Obstacle Tower paper there is a section on human performance. 15 people tried it multiple times and the max floor was 22. Am I reading this right? I finished all 25 floors on my very first try without much trouble.
How far did everyone else get and how many runs did you do? We could try collecting more data and make a more accurate human benchmark this way.

Greetings!

Over 1 year ago

thanks nub

Greetings!

Over 1 year ago

:herb:

Greetings!

Over 1 year ago

Greetings!

Over 1 year ago

how curious?

Greetings!

Over 1 year ago

duuuh

Greetings!

Over 1 year ago

no. @discobot

Greetings!

Over 1 year ago

:poop:

Greetings!

Over 1 year ago

karolisram has not provided any information yet.