Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Sample-efficient reinforcement learning in Minecraft
Multi Agent Reinforcement Learning on Trains
Classify images of snake species from around the world
Find all the aircraft!
Detect Masks in the Wild!
A benchmark for image-based food recognition
Reinforcement Learning on Musculoskeletal Models
Disentanglement: from simulation to real-world
Multi Agent Reinforcement Learning on Trains.
Robots that learn to interact with the environment autonomously
Visual SLAM in challenging environments