With the rising number of mobile users and the large set of critical applications, such as Internet of Things, Smart Grid, and Smart Cities, it is fundamental to wisely and efficiently allocate the ...
When Leo Wang arrived at Carnegie Mellon University from Hong Kong, he was already fascinated by robots. But it wasn’t until he joined the Robomechanics Lab led by Aaron Johnson that his interest ...
A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.
This paper is about how robots (in particular, household robots like mobile manipulators) can autonomously acquire skills via ...
Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...
Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...
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