Autonomous robotic systems, like autonomous vehicles and robotic search ...
Lifelong learning agents aim to learn multiple tasks sequentially over a...
Despite the advancement of machine learning techniques in recent years,
...
Lifelong learning aims to create AI systems that continuously and
increm...
Learning from set-structured data is an essential problem with many
appl...
Meta-reinforcement learning (meta-RL) algorithms enable agents to adapt
...
A wide range of techniques can be considered for segmentation of images ...
Rapid online adaptation to changing tasks is an important problem in mac...
This paper introduces the modulated Hebbian plus Q network architecture
...
The shortage of high-resolution urban digital elevation model (DEM) data...
In this paper, we propose a novel fully convolutional two-stream fusion
...
Biological plastic neural networks are systems of extraordinary computat...
Unsupervised learning permits the development of algorithms that are abl...
Asynchrony, overlaps and delays in sensory-motor signals introduce ambig...