Slip and skid compensation is crucial for mobile robots' navigation in
o...
Interest in reinforcement learning (RL) has recently surged due to the
a...
Reinforcement learning (RL) is experiencing a resurgence in research
int...
Lateralization is ubiquitous in vertebrate brains which, as well as its ...
The majority of computer vision algorithms fail to find higher-order
(ab...
Learning classifier systems (LCSs) originated from cognitive-science res...
Multitask Learning is a learning paradigm that deals with multiple diffe...
A major goal of machine learning is to create techniques that abstract a...