In this work, we introduce a new perspective for learning transferable content in multi-task
imitation learning. Humans are capable of transferring skills and knowledge. If we can cycle to …

Generalizing to new tasks with little supervision is a challenge in machine learning and a
requirement for future “General AI” agents. Reinforcement and imitation learning is used to …

Robotic technology is integrating into more aspects of our society. The ability to perform
multiple different functions in various environments is an important research challenge. Recent …

Robots need to be able to work in multiple different environments. Even when performing
similar tasks, different behaviour should be deployed to best fit the current environment. In this …

Forests generally comprise vertical structures, where the forest floor and understory play
vital roles in the forest ecosystem. Estimating the reflectance of these forest backgrounds is …

A new instrument for measuring cooling air flow of car radiator is introduced after analyzing
existing instruments and methods, and the measuring principle and design method of new …

Resource balancing within complex transportation networks is one of the most important
problems in real logistics domain. Traditional solutions on these problems leverage …

Leaf reflectance is widely used to retrieve leaf chlorophyll content (Cab) and parameterize
canopy radiative transfer models. Measurements of broadleaf reflectance are typically made …

KLA (sequence, KLAKLAKKLAKLAK) is a peptide which leads to programmed cell death by
disrupting the mitochondrial membrane. However, low penetration in tumors greatly limits its …

The clumping effect is the main issue causing the heterogeneity in vegetation canopies and
the underestimation of leaf area index (LAI) obtained using indirect measurement methods. …