Abstract. This paper investigates utility maximising bidding heuristics for agents that participate in multiple heterogeneous auctions, in which the auction format and the starting...
David C. K. Yuen, Andrew Byde, Nicholas R. Jenning...
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Abstract--The multimode resource-constrained projectscheduling problem with discounted cash flows (MRCPSPDCF) is important and challenging for project management. As the problem is...
Wei-neng Chen, Jun Zhang, Henry Shu-Hung Chung, Ru...
Distributed Multi-Agent Systems (DMAS) such as supply chains functioning in highly dynamic environments need to achieve maximum overall utility during operation. The utility from ...
Nathan Gnanasambandam, Seokcheon Lee, Soundar R. T...
Abstract-- We introduce join scheduling algorithms that employ a balanced network utilization metric to optimize the use of all network paths in a global-scale database federation....
Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amo...