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shivam

Name

Shivam Khandelwal

Organization

AIcrowd

Location

Gurgaon, IN

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0
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2

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Ratings Progression

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Challenge Categories

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Challenges Entered

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

Latest submissions

No submissions made in this challenge.

Multi-Agent Reinforcement Learning on Trains

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failed 84106
failed 84105
failed 84104

Play in a realistic insurance market, compete for profit!

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graded 113613
graded 110174
graded 110172

A benchmark for image-based food recognition

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graded 59791
failed 59371
failed 31084

Sample-efficient reinforcement learning in Minecraft

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graded 120070
graded 117123
graded 113473

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graded 60335
graded 60334

Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!

Latest submissions

No submissions made in this challenge.

3D seismic image Interpretation by Machine Learning

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graded 82746
graded 82738
graded 82737

Predicting smell of molecular compounds

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failed 114224
failed 114223
failed 114222

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failed 68839
failed 68599

5 Problems 21 Days. Can you solve it all?

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failed 122822

Robots that learn to interact with the environment autonomously

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graded 99115
graded 99114
failed 99109

Recognise Handwritten Digits

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graded 63126
graded 62025
graded 61850

5 Problems 15 Days. Can you solve it all?

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graded 67402
graded 66492

Help improve humanitarian crisis response through better NLP modeling

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failed 32245

Image-based plant identification on Amazonian flora

Latest submissions

No submissions made in this challenge.

Predict Labor Class

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graded 68597

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graded 80051

Recognizing bird sounds in monophone soundscapes

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Detect water bodies from satellite Imagery

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failed 85240

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

ACL-BioNLP Shared Task

Latest submissions

No submissions made in this challenge.

Extrapolate Time Series Data

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graded 115519
graded 115513
failed 115471

Recognise Text From Images

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graded 115537
graded 115536

Analyse Sentiment From Sound Clips

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graded 115551

Predict the side with highest points.

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failed 122822

Airborne Object Tracking Challenge

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graded 130321
graded 130240
graded 130235

Detect Multi-Animal Behaviors from a large, hand-labeled dataset.

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graded 125036

Adapt Behavior Detectors to capture individuals' annotation style.

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graded 125603
graded 125602
graded 125601
Gold 0
Silver 0
Bronze 2
Newtonian
May 16, 2020
Trustable
May 16, 2020

Badges

  • Kudos! You've won a bronze badge in this challenge. Keep up the great work!
    Challenge: droneRL
    May 16, 2020

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  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

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

  • May 16, 2020

  • May 16, 2020

  • May 16, 2020

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  • May 16, 2020

  • May 16, 2020

  • May 16, 2020
Participant Rating
ashivani
ayush_upadhyay 0
sanjaypokkali 196
rohitmidha23 237
anssi 217
thomas_cloarec 0
Participant Rating
leocd 0
ashivani
vrv
shubhankar.sb 0
kartik.gupta0204 0
shubham_sharma 0
rohitmidha23 237
nickinack 0
sanjaypokkali 196
aditya_morolia 0
shraddhaa_mohan 252
hagrid67 89
yoogottamk
piotrekpasciak 0
akhilesh 0
akshatcx -39
pulkit_gera 0
sauravkar 0
nikhil_rayaprolu 172
jason_reynolds
marcel
mohanty
MasterScrat
anssi 217
aicrowd-bot

AI Blitz #7

Leaderboard BUG (Lost my submissions and place)

26 days ago

Hi @toefL,

It has been fixed.
There was a delay in your rank update after creating the team.

Submission

About 1 month ago

Hi @harshita_gupta,

Can you share the page on which the message is coming for you?

We can check it out accordingly.

MARS ROTATION

MSE score of 0.0

About 1 month ago

Hi everyone,

Here is update on the issue:

ROVER CLASSIFICATION

Insurance pricing game

Announcing a bonus round while you wait!

About 1 month ago

Hi @RHG,

Nice catch! :raised_hands:
Bonus Round’s RMSE was indeed wrongly sorted and has been fixed now.

Congratulations on claiming the first rank :1st_place_medal:, while other participants brace themselves to attack for the 1st position :wink:

Market Simulation - what happens next?

About 1 month ago

Hi @kamil_singh,

You can check the full description on the next steps here:

Evaluation failed

About 1 month ago

Hi @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 ago

Hi @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'))

Source: https://stackoverflow.com/a/46176104

Will my code run on the AI Server?

About 1 month ago

Hi @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 ago

Hi @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 ago

Hi @Lin_Yan_Liang,

Welcome to AIcrowd. :wave:

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:
image

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. :smiley:

https://www.aicrowd.com/challenges/multi-agent-behavior-representation-modeling-measurement-and-applications/notebooks

Happy solving! :muscle:

SnakeCLEF2021 - Snake Species Identification Chall

Colab for this competition

About 1 month ago

Hi @ibrahim_sherif,

I did a quick implementation and this might be the end to end example you are looking for. :wink:

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! :muscle:
I am pretty sure other participants might be interested in the same too. :smiley:

Colab for this competition

About 1 month ago

Hi @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 ago

Hi @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

MABe Task 2: Annotation Style Transfer

MABe Task 1: Classical Classification

REAL 2020 - Robot open-Ended Autonomous Learning

How to run evaluation locally?

About 1 month ago

The 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

shivam has not provided any information yet.

Notebooks

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