NeurIPS 2021: MineRL Diamond Competition

By MineRL Labs - Carnegie Mellon University

Training sample-efficient agents in Minecraft

ADDI Alzheimers Detection Challenge

By ADDI

Machine Learning for detection of early onset of Alzheimers

NeurIPS 2021: MineRL BASALT Competition

By C.H.A.I. - UC Berkeley

Sample Efficient Reinforcement Learning in Minecraft

NeurIPS 2020: Procgen Competition

By OpenAI

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

The Neural-MMO Challenge

By MIT

Robustness and teamwork in a massively multiagent environment

Flatland

By SNCF SBB Deutsche Bahn

Multi-Agent Reinforcement Learning on Trains

Spotify Million Playlist Dataset Challenge

By Spotify

A dataset and open-ended challenge for music recommendation research

NeurIPS 2020: MineRL Competition

By MineRL Labs - Carnegie Mellon University

Sample-efficient reinforcement learning in Minecraft

NeurIPS 2019: Learn to Move - Walk Around

By Stanford Neuromuscular Biomechanics Laboratory

Reinforcement Learning on Musculoskeletal Models

NeurIPS 2019 : MineRL Competition

By MineRL Labs - Carnegie Mellon University

Sample-efficient reinforcement learning in Minecraft

NeurIPS 2019 - Robot open-Ended Autonomous Learning

By GOAL-Robots

Robots that learn to interact with the environment autonomously

Unity Obstacle Tower Challenge

By Unity Technologies

A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning

Flatland AMLD 2021

By AIcrowd

Multi-Agent Reinforcement Learning on Trains