Challenges

NeurIPS 2020: Procgen Competition

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

NeurIPS 2020: MineRL Competition

Sample-efficient reinforcement learning in Minecraft

NeurIPS 2020: Flatland Challenge

Multi Agent Reinforcement Learning on Trains

Snake Species Identification Challenge

Classify images of snake species from around the world

CYD Campus Aircraft Localization Competition

Find all the aircraft!

Mask Detection Challenge

Detect Masks in the Wild!

Food Recognition Challenge

A benchmark for image-based food recognition

NeurIPS 2019: Learn to Move - Walk Around

Reinforcement Learning on Musculoskeletal Models

NeurIPS 2019 : Disentanglement Challenge

Disentanglement: from simulation to real-world

NeurIPS 2019 : MineRL Competition

Sample-efficient reinforcement learning in Minecraft

Flatland Challenge

Multi Agent Reinforcement Learning on Trains.

SemTab 2020 Columns-Property Annotation (CPA) Challenge

SemTab 2020 Column-Type Annotation (CTA) Challenge

SemTab 2020 Cell-Entity Annotation (CEA) Challenge

REAL Robots 2020

Robots that learn to interact with the environment autonomously

TartanAir Visual SLAM - Mono Track

Visual SLAM in challenging environments

AWS DeepRacer Sim2Real Challenge #2