Activity
Ratings Progression
Challenge Categories
Challenges Entered
Machine Learning for detection of early onset of Alzheimers
Latest submissions
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
See Allfailed | 81668 | ||
failed | 81667 | ||
failed | 81666 |
Play in a realistic insurance market, compete for profit!
Latest submissions
A dataset and open-ended challenge for music recommendation research
Latest submissions
A benchmark for image-based food recognition
Latest submissions
Sample-efficient reinforcement learning in Minecraft
Latest submissions
Reinforcement Learning on Musculoskeletal Models
Latest submissions
See Allgraded | 23318 | ||
graded | 23317 | ||
graded | 23314 |
Sample-efficient reinforcement learning in Minecraft
Latest submissions
Robots that learn to interact with the environment autonomously
Latest submissions
See Allgraded | 21845 |
Participant | Rating |
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Participant | Rating |
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NeurIPS 2020: Procgen Competition
NeurIPS 2019: Learn to Move - Walk Around
Raw observation usage β Osim
About 5 years agoHi,
Is it possible to use osim dict observation, rather than proposed projection?
Thanks!
Catalyst starter kit
About 5 years agoHi,
What?
I just want to share with you my starter kit for this year competition - distributed DDPG agent based on Catalyst.RL framework.
Why I am doing this?
- I am participating in this competition for last 2 year. And I love it, I think, that the competition mission is really important and valuable.
- I already have 2 publicly available solutions (both are 3rd place winners):
2017 - https://github.com/Scitator/Run-Skeleton-Run
2018 - https://github.com/Scitator/neurips-18-prosthetics-challenge - last year I also open-sourced Catalyst - DL&RL framework for fast and reproducible experiments. The RL part was developed during 2018 year competition.
Based on all this I want to boost community activity in this competition and RL overall.
For more RL news and this competition insights - you can find me by twitter.
Thanks!
FAQ: Round 1 evaluations configuration
About 4 years agoDear organisers,
Is it possible to remove ray dependency from second round?
From my perspective Ray looks like a too heavy solution for this task.
Do you have any pure TF/Pytorch baselines to start from?