We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
We present a general framework for the modeling and optimization of scalable multi-projector displays. Based on this framework, we derive algorithms that can robustly optimize the ...
Niranjan Damera-Venkata, Nelson L. Chang, Jeffre...
In order to be economically feasible and to offer high levels of availability and performance, large scale distributed systems depend on the automation of repair services. While t...
Framework optimizations capitalize on object dependencies, while framework flexibility and composability demand object independence. This paper shows how to balance these conflicti...
Dynamic optimization is emerging as a promising approach to overcome many of the obstacles of traditional static compilation. But while there are a number of compiler infrastructu...
Derek Bruening, Timothy Garnett, Saman P. Amarasin...