Transformer-based language models are able to generate fluent text and b...
In a federated setting, agents coordinate with a central agent or a serv...
The conditional value-at-risk (CVaR) is a useful risk measure in fields ...
In many scenarios in computer vision, machine learning, and computer
gra...
The Conditional Value-at-Risk (CVaR) is a useful risk measure in machine...
The unprecedented growth of demand for charging electric vehicles (EVs) ...
We present a scheme for sequential decision making with a risk-sensitive...
Variance plays a crucial role in risk-sensitive reinforcement learning, ...
We study a class of distributed optimization problems for multiple share...
We develop a distributed control algorithm for prosumer based sharing ec...
Achieving a balance of supply and demand in a multi-agent system with ma...
Asset monitoring in construction sites is an intricate, manually intensi...
We propose two improvements to the SSD---single shot multibox detector.
...
Efficient resource allocation is challenging when privacy of users is
im...
Although the general deterministic reward function in MDPs takes three
a...
The culture of sharing instead of ownership is sharply increasing in
ind...
We propose a distributed algorithm to solve a special distributed
multi-...
This paper studies Value-at-Risk (VaR) problems in short- and long-horiz...
For vehicle sharing schemes, where drop-off positions are not fixed, we
...
We consider one-way vehicle sharing systems where customers can rent a c...
We introduce the functional bandit problem, where the objective is to fi...
In many "smart city" applications, congestion arises in part due to the
...
We consider the problem of online linear regression on individual sequen...