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Challenges Entered
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
See Allfailed | 84106 | ||
failed | 84105 | ||
failed | 84104 |
Play in a realistic insurance market, compete for profit!
Latest submissions
See Allgraded | 113613 | ||
graded | 110174 | ||
graded | 110172 |
A benchmark for image-based food recognition
Latest submissions
See Allgraded | 59791 | ||
failed | 59371 | ||
failed | 31084 |
Sample-efficient reinforcement learning in Minecraft
Latest submissions
See Allgraded | 120070 | ||
graded | 117123 | ||
graded | 113473 |
Classify images of snake species from around the world
Latest submissions
See Allgraded | 60335 | ||
graded | 60334 |
Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!
Latest submissions
3D seismic image Interpretation by Machine Learning
Latest submissions
See Allgraded | 82746 | ||
graded | 82738 | ||
graded | 82737 |
Predicting smell of molecular compounds
Latest submissions
See Allfailed | 114224 | ||
failed | 114223 | ||
failed | 114222 |
Robots that learn to interact with the environment autonomously
Latest submissions
See Allgraded | 99115 | ||
graded | 99114 | ||
failed | 99109 |
Latest submissions
See Allgraded | 63126 | ||
graded | 62025 | ||
graded | 61850 |
Help improve humanitarian crisis response through better NLP modeling
Latest submissions
See Allfailed | 32245 |
Image-based plant identification on Amazonian flora
Latest submissions
Recognizing bird sounds in monophone soundscapes
Latest submissions
ACL-BioNLP Shared Task
Latest submissions
ACL-BioNLP Shared Task
Latest submissions
ACL-BioNLP Shared Task
Latest submissions
ACL-BioNLP Shared Task
Latest submissions
Latest submissions
See Allgraded | 115519 | ||
graded | 115513 | ||
failed | 115471 |
Latest submissions
See Allgraded | 115537 | ||
graded | 115536 |
Latest submissions
See Allgraded | 115551 |
Airborne Object Tracking Challenge
Latest submissions
See Allgraded | 130321 | ||
graded | 130240 | ||
graded | 130235 |
Detect Multi-Animal Behaviors from a large, hand-labeled dataset.
Latest submissions
See Allgraded | 125036 |
Adapt Behavior Detectors to capture individuals' annotation style.
Latest submissions
See Allgraded | 125603 | ||
graded | 125602 | ||
graded | 125601 |
Badges
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NewtonianKudos! You've won a bronze badge in this challenge. Keep up the great work!
Challenge: droneRL -
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AI Blitz #7

Submission
About 1 month agoHi @harshita_gupta,
Can you share the page on which the message is coming for you?
We can check it out accordingly.
MARS ROTATION

ROVER CLASSIFICATION

🚨 Update in Test Dataset | 📥 Reminder to Download
About 1 month agoInsurance pricing game


Announcing a bonus round while you wait!
About 1 month agoHi @RHG,
Nice catch!
Bonus Round’s RMSE was indeed wrongly sorted and has been fixed now.
Congratulations on claiming the first rank , while other participants brace themselves to attack for the 1st position

Market Simulation - what happens next?
About 1 month agoHi @kamil_singh,
You can check the full description on the next steps here:

Evaluation failed
About 1 month agoHi @sweet_bitter,
You need to remove global_imports
from your packages list.
It should work after it.

R package "caret" cannot be installed
About 1 month agoHi @FrankSchmid,
It looks like you need to install it along with it’s dependencies (either via dependencies=TRUE
or listing them seperately).
install.packages('caret', dependencies=TRUE)
or
install.packages('caret', dependencies=c('ddalpha', 'recipes'))

Will my code run on the AI Server?
About 1 month agoHi @kamil_singh, can you provide the submission ID in which you attempted it? We can suggest accordingly.

ERROR: No matching distribution found for os
About 2 months agoHi @tom_snowdon,
The os
package is part of Python’s standard library (pre-installed) and you don’t need to specify in your requirements.txt
.
Multi-Agent Behavior: Representation, Model

Hello! I'm new here, could I attend the challenge with my own team without others?
About 1 month agoHi @Lin_Yan_Liang,
Welcome to AIcrowd.
You can participate in the challenge as an individual, and creating a team isn’t a requirement.
This challenge consists of three tasks which are:
Once you open any task, you will be able to make a submission for the same.
We also have getting started code and baseline code available in the notebooks section for you to get started.
Happy solving!
SnakeCLEF2021 - Snake Species Identification Chall

Colab for this competition
About 1 month agoHi @ibrahim_sherif,
I did a quick implementation and this might be the end to end example you are looking for.
Please note, that I only worried about dataset integration on Colab/Notebook via CLI in this example, and have not done end to end testing of baseline.
The baseline need some love, and you can even share your fixed/better version in the Notebook sections!
I am pretty sure other participants might be interested in the same too.

Colab for this competition
About 1 month agoHi @ibrahim_sherif,
Yes, AIcrowd supports dataset download via cli.
You can download the dataset on the Colab/Notebooks using the same.
I have added an example notebook here:
You can also click on “Open in Colab” button to get started right away!
Let us know in case you face any difficulties.
Cheers,
Shivam
Flatland

Flatland Submission Failure
About 1 month agoHi @student & @mitesh_mutha,
Thanks a lot for reporting the issue.
It was an issue on our side. It is now fixed and your submission(s) have started. Sorry for the inconvenience caused.
MABe Task 3: Learning New Behavior

Learning New Behavior | Multi-Agent Behavior Challenge
About 1 month agoMABe Task 2: Annotation Style Transfer

Annotation Style Transfer | Multi-Agent Behavior Challenge
About 1 month agoMABe Task 1: Classical Classification

Classical Classification | Multi-Agent Behavior Challenge
About 1 month agoREAL 2020 - Robot open-Ended Autonomous Learning

How to run evaluation locally?
About 1 month agoThe challenge has officially ended few months back.
But in case you are interested in playing with the problem you can run end to end submission on your local environment.
In order to run the starter kit locally for getting scores w.r.t. leaderboard you can do the following:
result, detailed_scores = real_robots.evaluate(
SubmittedPolicy,
intrinsic_timesteps=0,
extrinsic_timesteps=10000,
extrinsic_trials=50,
visualize=False,
goals_dataset_path=DATASET_PATH
)
in your local_evaluation.py.
The scores will be comparable to the one on the leaderboards.
Let us know in case any more help is required!
Cheers,
Shivam
NeurIPS 2020: MineRL Competition

Winner Announcement during AI and Gaming Research Summit
About 2 months agoNotebooks
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BaseLine EfficientNet B0 224 Example of training data download via cli, with official baseline by Snakes Organisersshivam· About 1 month ago
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Download dataset in Colab/Notebook via CLI This notebook contain example on how to download dataset via notebook/colab using aicrowd-clishivam· About 1 month ago
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Getting started with TIMSER (baseline notebook) Baseline containing code for submitting submissions for Time Series Prediction (AI Blitz 5)shivam· 3 months ago
Leaderboard BUG (Lost my submissions and place)
26 days agoHi @toefL,
It has been fixed.
There was a delay in your rank update after creating the team.