Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
In this paper, we propose a new sensitivity based, statistical gate sizing method. Since circuit optimization effects the entire shape of the circuit delay distribution, it is dif...
Aseem Agarwal, Kaviraj Chopra, David Blaauw, Vladi...
In this paper, we address the problem of content placement in peer-to-peer systems, with the objective of maximizing the utilization of peers' uplink bandwidth resources. We ...
We propose and investigate a game-theoretic approach to the malware filtering and detector placement problem which arises in network security. Our main objective is to develop opt...
Stephan Schmidt, Tansu Alpcan, Sahin Albayrak, Tam...
AI has many techniques and tools at its disposal, yet seems to be lacking some special "juice" needed to create a true being. We propose that the missing ingredients are ...