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Ratings Progression
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Completed
OpenAI
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
See All| graded | 67944 | ||
| graded | 67942 |
SNCF
SBB
Deutsche Bahn
Multi-Agent Reinforcement Learning on Trains
Latest submissions
See All| graded | 114689 | ||
| failed | 99379 | ||
| graded | 99368 |
MineRL Labs - Carnegie Mellon University
Sample-efficient reinforcement learning in Minecraft
Latest submissions
See All| graded | 25410 | ||
| graded | 25409 | ||
| failed | 25399 |
Multi Agent Reinforcement Learning on Trains.
Latest submissions
See All| failed | 67801 | ||
| failed | 67786 | ||
| failed | 67761 |
AIcrowd
Boltzmann's Favourite
May 16, 2020
Trustable
May 16, 2020
Newtonian
May 16, 2020
Badges
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May 16, 2020
Nice Share
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May 16, 2020
Nice Share
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May 16, 2020
Popular Link
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May 16, 2020
Good Share
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May 16, 2020
Regular
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May 16, 2020
Nice Share
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May 16, 2020
First Share
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May 16, 2020
Thank You
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May 16, 2020
Appreciated
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May 16, 2020
First Link
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May 16, 2020
TrustableHas filled their profile page
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May 16, 2020
First Quote
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May 16, 2020
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May 16, 2020
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May 16, 2020
First Onebox
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May 16, 2020
First Emoji
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May 16, 2020
Enthusiast
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May 16, 2020
First Like
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May 16, 2020
NewtonianKudos! You've won a bronze badge in this challenge. Keep up the great work!
Challenge: NeurIPS 2019 : MineRL Competition -
May 16, 2020
First Mention
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May 16, 2020
Anniversary
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May 16, 2020
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May 16, 2020
Welcome
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May 16, 2020
Basic User
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May 16, 2020
Boltzmann's FavouriteKudos! You've been awarded a silver badge for this challenge. Keep up the great work!
Challenge: droneRL
| Participant | Rating |
|---|---|
anssi
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217 |
shivam
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| Participant | Rating |
|---|---|
manueth
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0 |
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anssi
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217 |
junjie_li
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290 |
Flatland
📑 The Flatland paper is out!
About 1 month agoA first version of the Flatland competition paper is out on arXiv!
Flatland-RL : Multi-Agent Reinforcement Learning on Trains
@misc{mohanty2020flatlandrl,
title={Flatland-RL : Multi-Agent Reinforcement Learning on Trains},
author={Sharada Mohanty and Erik Nygren and Florian Laurent and Manuel Schneider and Christian Scheller and Nilabha Bhattacharya and Jeremy Watson and Adrian Egli and Christian Eichenberger and Christian Baumberger and Gereon Vienken and Irene Sturm and Guillaume Sartoretti and Giacomo Spigler},
year={2020},
eprint={2012.05893},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
A separate paper will cover competition results, more information about it coming soon.
📹 Flatland NeurIPS Townhall
About 1 month agoHey @jakob_stigenberg, yes the event was recorded, we will release the video publicly soon!
🏆 NeurIPS 2020 Flatland Winners
About 1 month ago
🏆 NeurIPS 2020 Flatland Winners
About 1 month ago
MasterScrat has not provided any information yet.
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Accelerate the learning – increase agents behavior at higher speed! New changes related to flatland
Byadrian_egli29 days ago -
RLLib Baselines on Colab! This Colab notebook allows you to train a full Flatland agent using the provided PPO baseline.
Bynilabha29 days ago -
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Getting started with TIMSER (baseline notebook) Baseline containing code for submitting submissions for Time Series Prediction (AI Blitz 5)
Byshivam5 days ago#baseline
Metadata.csv is missing from the latest testset
2 days agoHello Sahil, which archive are you referring to? I see the
metadata.csvin bothtest-neurips2020-round2-v0.tar.gzandtest-neurips2020-round1-v1.tar.gzfrom the Resources page.edit: This was an error in the doc that we’ve now corrected, thanks for the report!