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Vrushank Vyas

Location

IN

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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.

3D seismic image Interpretation by Machine Learning

Latest submissions

No submissions made in this challenge.

Predicting smell of molecular compounds

Latest submissions

No submissions made in this challenge.

Multi-Agent Reinforcement Learning on Trains

Latest submissions

No submissions made in this challenge.

Sample-efficient reinforcement learning in Minecraft

Latest submissions

No submissions made in this challenge.

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

Latest submissions

No submissions made in this challenge.

A benchmark for image-based food recognition

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

5 Problems 15 Days. Can you solve it all?

Latest submissions

No submissions made in this challenge.

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

Latest submissions

No submissions made in this challenge.
Gold 0
Silver 0
Bronze 1
Trustable
May 16, 2020

Badges


  • 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

  • May 16, 2020
  • Has filled their profile page
    May 16, 2020
Participant Rating
shivam
jyotish
Participant Rating
ramkaushik 173
Johnowhitaker 140
victorkras2008 167
junjie_li 299

About prices

About 3 hours ago

Hey, they wonโ€™t be eligible for the prizes. And we will announce the date for prize announcement today. :raised_hands:

Food Recognition Challenge Round 3

29 days ago

I see. Alright, thanks! :slight_smile:

Food Recognition Challenge Round 3

About 1 month ago

Hi Simon,

I am Vrushank, I lead community engagement for AIcrowd. Thank you for participating in the Food recognition challenge earlier and for your kind words to the team!

Are you participating in the new round?

Welcome to AIcrowd Community

About 2 months ago

Hi,

I understand. :slight_smile:

And congratulations on winning the community contribution prize! :tada:
The submissions were so good we ended up announcing 2 winners! You and Animesh.

And thank you so much for helping us out with the sheet! We really appreciate it.

Maybe you are an introvert and zoom-shy, but if you are comfortable, I would love to hop on a call with you over the weekend. Let me know :smiley:

Welcome to AIcrowd Community

About 2 months ago

Also, feel free to ignore if this feels like an unwarranted intrusion.
Would you want to tell what you mean by difficult circumstances?

Welcome to AIcrowd Community

About 2 months ago

Ah thatโ€™s unfortunate. If you can, do tune in for the prize announcement :wink:

I understand this is a stretch but would you be able to point me to some of these groups? I really appreciate it.

Welcome to AIcrowd Community

About 2 months ago

Hey,

I am glad that you like it! And you have described it aptly. That is how we envisioned it. :raised_hands:

If you are looking for recommendations on which challenge to pursue next or how to go about them, feel free to post any queries or suggestions on our Discord server.

I do wonder how we can reach out to more users in Nepal, get them interested in ML/DL. If you have some ideas to share on that, I would love to get on a call with you!

Also, you created an amazing video for the Sudoku explainer! Everyone on our Slack was impressed with it! We are hosting an End-of-Blitzโšก webinar tomorrow at 2:30 PM CEST as Blitz comes to a close. Eminent speakers from ITU will be speaking in the webinar. Would you be interested in joining them as a panelist? You can let me know your thoughts on this.

Cheers
Vrushank

Welcome to AIcrowd Community

About 2 months ago

Hi nischal!

I am Vrushank, I lead community engagement for AIcrowd. We are excited that you are trying out the AIcrowd platform and are finding something of value here.

I thought to reach out to you because I saw on your profile that you are from Nepal, and we donโ€™t have many participants from there! So this is very encouraging.

How have you liked the challenges on AIcrowd until now?

Cheers
Vrushank

RE: Recreating Expert Demonstration

About 2 months ago

Ah I see. Alright. Thank you for your response!

RE: Recreating Expert Demonstration

About 2 months ago

Hey,

Iโ€™m Vrushank, I lead community engagement for AIcrowd. We have a Discourse feed setup on our Slack channel so that we can get updates on all activities and plan responses directly.

We got a ping for your question and we were really happy that you asked it! But it seems that the question is deleted now. Would you be interested in sharing why it was deleted?

We are trying to improve our community response, and hence I am curious.

Thanks!
Vrushank

AIcrowd

Office hours on Discord every Wednesday 3 PM CEST

4 days ago

Hey thanks for pointing out! Have changed the link. In any case, this is the invite link to AIcrowd Discord: https://discord.gg/vQZJNtx

We meet on the Office hour channel every Wednesday

Office hours on Discord every Wednesday 3 PM CEST

20 days ago

Hi everyone,

AIcrowd team will be available to chat every Wednesday at 3 PM CEST on our Discord voice server :point_down:

Join us to discuss ideas, troubleshoot your submissions, and more!

Feedback & Ideas ๐Ÿ’ก

3 months ago

Hi!

Your feedback matters! Please use this forum to share any site-wide issue or for suggestions for new ideas!

We are listening :raised_hands:

NeurIPS 2020: Flatland Challenge

โŒ› Flatland Community Prize: Deadline Extended and Prize Pool Doubled ๐Ÿ’ธ

5 days ago

We have extended the Flatland Community Prize deadline to 4th November, and doubled the Prize Pool to 1,000 CHF!

The new cash prizes for top contributors are:

:1st_place_medal: 500 CHF for the 1st place
:2nd_place_medal: 300 CHF for the 2nd place
:3rd_place_medal: 200 CHF for the 3rd place


:running_man:โ€โ™‚ Contribute Now! | :bulb: Contribution ideas

๐Ÿ“ Flatland Community Prize: 1,000 CHF Prize Pool

12 days ago

:memo: Flatland Community Prize :bulb: Contribution Ideas

Best solutions to a problem like Flatland are found in collaborations and learnings from multiple approaches. To facilitate sharing of ideas and discussions, we invite you to share tools & tips, resources & approaches you follow with the Flatland community. :writing_hand:

:steam_locomotive: Flatland advances state-of-the-art work in multi-agent reinforcement learning, and your contributions can play a key part in that advancement!


If you are confused about what kind of Contributions you can make, we are listing down some ideas in this doc that you can follow. :raised_hands:

We hope they inspire you to share your ideas and insights with the Flatland community!


Simple explainer videos

  • Flatland is a complex problem that may be hard to get into. We have worked hard to revamp its documentation, create new starter kits and baseline examples, but it is still challenging to make your first steps with this environment!
  • We would welcome simple videos that give a high-level overview of this problem, and that walk newcomers through their first experiments with it.

Investigate the use of new methods

  • We have released a number of baselines that show results using methods such as PPO, Ape-X, imitation learning algorithms etc.
  • There are still many interesting methods that could be explored! It would be interesting to investigate the performance to see which one are the most promising:
    • PPG is a brand new improvement of PPO that shows improved sample efficiency.
    • PLR is another bleeding edge method specifically for procedurally-generated environments. The idea is to find and prioritize the environment seeds that provide the most learning potential.
    • MADDPG is an extension of DDPG for MARL environments. Most of the methods we have investigated so far are designed for single-agent environments, and we simply consider the other agents as being part of the environment. But this is not optimal! MADDPG handles this properly.

Improve the rendering of the environment

๐Ÿ“ Flatland Community Prize: 1,000 CHF Prize Pool

19 days ago

:hourglass: Deadline Extended to 4th November and Prizes Doubled!

A real-world problem like Flatland inspires niche and novel approaches to find better solutions, and this competition is constantly pushing everyone to get creative and learn from each otherโ€™s performances.

To increase collaboration and novel problem-solving, AIcrowd is excited to announce the Flatland Community Prize:

Create any form of work that contributes towards a better understanding of the Flatland environment by November 4th to win up to 500 CHF!

:memo: CONTRIBUTIONS

Your contribution can be in terms of:

  • Notebooks (runnable online on Colab or Binder)
  • Data visualizations
  • Custom observation builders (see the doc)
  • Articles
  • Videos
  • Anything else

There are no constraints on how you wish to present your ideas! You can take inspiration from some works created by previous participants:

You can also check out these Master Thesis written in the context of the 2019 challenge:

Of course we donโ€™t expect this level of depth - although we donโ€™t forbid it either :stuck_out_tongue_winking_eye:

:trophy: PRIZES

  • 1st place: 500 CHF
  • 2nd place: 300 CHF
  • 3rd place: 200 CHF

:spiral_calendar: NEW DEADLINE

4th November 2020, 23:55 UTC

:balance_scale: TERMS

  1. You must post your explainers on the challenge forum with the tag โ€˜explainerโ€™, introducing and linking to your contribution.
  2. The prizes will be awarded as per the discretion of the organizers, and the popularity of the post in the community (based on number of likes :heart:) - so share your post widely to spread the word!
  3. You can make multiple submissions, but youโ€™re only eligible for the prize once.
  4. Your work needs to be published under a license and on a platform that allows other participants to use it. For example, code should be provided under an open-source license, and articles should be readable freely.

Weโ€™re looking forward to see what you come up with!

Seismic Facies Identification Challenge

[Explainer]: A Noob Code-First Notebook

7 days ago

Hey thatโ€™s a really cool viz! I reduced the size, and uploaded it for this post! :smile:

Explained by the Community | Win 4 x DJI Mavic Drones

21 days ago

Hi all!

This Community prize has been terrific! We have had many serious and insightful submissions from many people from different domains. The deadline for this challenge will be extended and you will have more time to improve your submissions! (We will update you on the new deadline soon)

There is a lot of activity on this page and if it continues like this, it would become very hard for everyone to track the conversations. Keeping that in mind, we request all the Community prize participants to create a new independent post on the challenge discourse page, under the tag โ€˜explainerโ€™ and continue the conversations there.

We will take note of all the โ€˜likesโ€™ at both places and be assured that they will not be lost.

ccโ€™ing all the current participants: @leocd @Shubhamai @sergeytsimfer @edward_beeching @dills @santiactis @shraddhaa_mohan

Explained by the Community | Win 4 x DJI Mavic Drones

About 1 month ago

:tada: Announcing Community Prize!

Create an explainer on the Seismic Facies Identification Challenge. This explainer must be in a video or a notebook, or as a blog post - your choice! It should be succinct, and simple. The deadline for submitting it closes 4 days before Round 1 of the competition ends.

Post your explainer here.

:trophy: Prizes

Note : All the below mentioned Explained by Community prizes will be disseminated at the end of the Round-1 (27th October, 2020).

Mavic-Air-in-action-GIF

#1 โ€“ DJI Mavic Air 2 Fly More Kit
#2 โ€“ DJI Mavic Mini Fly More Kit
#3 โ€“ DJI Mavic Mini Fly More Kit
#4 โ€“ DJI Mavic Mini Fly More Kit

:date: The new deadline for submitting the explainers is 23th October, 2020, 12:00 UTC

The competition is simple:

  1. There are no constraints on how you wish to present your ideas. You can be as creative as you want!
  2. You must post your explainers on the challenge forum with the tag โ€˜explainerโ€™, and must also provide a link for the same on any of your social media handles, from any platform.
  3. You can make multiple submissions, but youโ€™re only eligible for the prize once.
  4. All the explainers should be supported by atleast a working Google Colab notebook.
  5. The prizes will be awarded by the discretion of the organizers and the popularity in the community (based in upvotes).

For more informal discussions, do use the Discord server

NeurIPS 2020: Procgen Competition

Round 2 extended?

8 days ago

Hi, yes.

You can refer to this: Questions about the competition timeline

Extending Round 1 & Announcing the 1st Procgen Townhall ๐Ÿ›

About 2 months ago

Hi, the recording of the Townhall is accessible here: https://youtu.be/ecUwgbTBbl4

Extending Round 1 & Announcing the 1st Procgen Townhall ๐Ÿ›

About 2 months ago

Hi,

Yes. We will be livestreaming the Townhall and it will be available on YouTube later. :raised_hands:

Spotify Million Playlist Dataset Challenge

Adding Spotify Million Playlist Dataset in Kaggle(for computing)

12 days ago

Hi,

You may want to use google colab. Itโ€™s a fantastic solution if you are low on computing power.

Cheers

AI Blitz #4

๐ŸŽ Learning to smell and Seismic Facies challenges for AI Blitz#4โšก

19 days ago

Dear participants,

Our aim with AI Blitzโšก has always been to get more and more people initiated into AI with easy-to-start puzzles from multiple domains. Many participants of AI Blitz go on to participate in more research challenges on AIcrowd and contribute to the community.

With this AI Blitzโšก, we want to try to bridge the gap between the educational and research challenges and bring some of our research challenges to AI Blitz participants.

Our focus in this AI Blitz will be on two super interesting research challenges on AIcrowd: Learning to smell challenge and Seismic Facies Identification challenge. Both of these challenges solve real-world problems. They have very vibrant communities and there are some really good getting started notebooks made available by the respective communities.

So as an experiment, we are bundling both of these challenges as a part of AI Blitzโšก#4 and we are very excited to see how the AI Blitz community tackles them!

Participate Now!


For participation, by agreeing to the AI Blitz rules you also agree to both the challengesโ€™ rules and in case of any conflict, the individual challengeโ€™s rules supersede AI Blitzโšก rules.

What this means for the leaderboard
If you participate in AI Blitz, you also become a participant of the original challenges (learning to smell and seismic facies). You can access the AI Blitz specific leaderboard to see how you are competing with AI Blitz participants and you can also access the main challenge leaderboard that will have ALL the participants of that challenge beyond Blitz.

What if you are already a participant in either of Learning to Smell or Seismic Facies
Nothing changes for you. If you would like to try your hand at AI Blitz and solve other puzzles in Blitz, you can easily participate.

What this means for prizes
If you are an AI Blitz participant, based on your leaderboard rank, you are eligible for the AI Blitz $500 prize pool. Top rank on Blitz leaderboard does not necessarily mean top rank on main Learning to smell or Seismic Facies leaderboards(separate from Blitz). These challenges have individual prizes and although you are eligible for those by participating in AI Blitz, you win them only when you are on top of their respective leaderboards.

Winning rules for AI Blitz
AI Blitz winning rules also mandate that you open source all your 5 solutions from the challenge, which includes your solutions for Learning to smell and Seismic Facies. Failing which, you may be ineligible for the cash prize.


Please let us know if you have doubts!

Staff

Is this a test?

22 days ago

Notebook