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siddhartha
Siddhartha Laghuvarapu

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Challenges Entered

Airborne Object Tracking Challenge

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failed 150529
failed 150526

Machine Learning for detection of early onset of Alzheimers

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Robustness and teamwork in a massively multiagent environment

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failed 166813
graded 166810
graded 166809

Play in a realistic insurance market, compete for profit!

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5 Puzzles 21 Days. Can you solve it all?

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Multi-Agent Reinforcement Learning on Trains

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Predicting wine quality

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Reinforcement Learning, IIT-M, assignment 1

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Classifying Emotion from Texts

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Multi-Agent Reinforcement Learning on Trains

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Latest submissions

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graded 158440
graded 158436
failed 158297

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graded 158466
submitted 158456
submitted 158451

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submitted 158597
graded 158560
graded 158558

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submitted 158597
graded 158560
graded 158558

Train your RL agents

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graded 164541
failed 162738
failed 162733
Participant Rating
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RL Project 2021-56807e

Normalisation and Final Score computation for the RL Project

About 1 year ago

Hi, base of the log operator will be 2.

Normalisation and Final Score computation for the RL Project

About 1 year ago

Each of the kbc assignments will be normalised to 1.

Normalisation and Final Score computation for the RL Project

About 1 year ago

Hi,

The final scores will be computed by adding the scores of each of the 5 environments after normalising these between 0-1.

For the Acrobot and the Taxi environment, min-max normalisation will be used.
For the KBC problems, min-max normalisation after applying a log operator will be used.
The scores will be computed after the submission period has ended.

Thanks,
Siddhartha.

Running Evaluations locally

About 1 year ago

Hi,
In case you are running out of submission limit, please note that the evaluations can be run locally end to end and get an estimate of the scores before making a submission on the leaderboard.
Thanks
Siddhartha.

IITM RL Final Project-b5d2e6

Running local evaluations

About 1 year ago

Hi,

In case you are running out of submission limit, please note that the evaluations can be run locally end to end and get an estimate of the scores before making a submission on the leaderboard.

Thanks
Siddhartha.

Airborne Object Tracking Challenge

New notebook for training with YOLO

Over 1 year ago

We have added a new notebook that walks you through preparing the dataset and configs for training with YOLO models. The notebook also provides an easy interface to apply filters and downloading specific data points for training.

You can find the notebook here:

Ideas for getting started

Over 1 year ago

Here is a list of ideas for getting started and improving baselines on the Airborne Object Detection challenge -

Using YOLO models for object detection and tracking

  • Out of the box YOLOv3 model with DeepSort algorithm for tracking
  • YOLO model fine tuned on the Airprime dataset

Detectron2 provides numerous models for object detection and segmentation and a flexible library for adding new ones. This can be a good starting point for building detection models.


Using JDE based algorithms for object tracking

Most algorithms explored are in SDE (Separate detection and embedding) paradigm. Recent algorithms in the Joint Detection and Embedding (JDE) paradigm have achieved superior performance in MOT leaderboards. Few notable examples -

PaddlePaddle provides a framework with a few MultiObject tracking methods (deepsort, fairmot, jde), and a flexible interface for adding new ones.


A few suggestions for improving object detection

  • Downscaling the input resolution to the model might make it hard to detect smaller airborne objects. Scaling up your input resolution to the model could help.
  • Using a model with high resolution would make your model large and increase inference time. Alternatively, you could tile your images as a preprocessing step and continue using smaller models. (The Power of Tiling for Small Object Detection)
  • Removing birds from predictions can help avoid extra false positives, since we are not interested in alerting birds.

NeurIPS 2022 - The Neural MMO Challenge

About the The Neural-MMO Challenge

Over 1 year ago

This forum is for long-form discussions on Neural MMO that are not suited to a single-thread format. Please direct all other discussion and support requests to the Discord server.

siddhartha has not provided any information yet.

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