Studying the manipulation of deformable linear objects has significant
p...
The growing interest in language-conditioned robot manipulation aims to
...
Generative model-based deep clustering frameworks excel in classifying
c...
Meta-reinforcement learning enables artificial agents to learn from rela...
Deep reinforcement learning (RL) has been endowed with high expectations...
Several autonomous driving strategies have been applied to autonomous
ve...
Meta-reinforcement learning (meta-RL) is a promising approach that enabl...
Although deep reinforcement learning has recently been very successful a...
Localization in the environment is an essential navigational capability ...
Simultaneous localization and mapping (SLAM) is one of the essential
tec...
As a vital cognitive function of animals, the navigation skill is first ...
Recent state-of-the-art artificial agents lack the ability to adapt rapi...
Reinforcement learning algorithms such as hindsight experience replay (H...
Building spiking neural networks (SNNs) based on biological synaptic
pla...
Similar to their counterparts in nature, the flexible bodies of snake-li...