When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
In this paper, we derive optimal bidding strategies for a global bidder who participates in multiple, simultaneous second-price auctions with perfect substitutes. We first conside...
Enrico H. Gerding, Rajdeep K. Dash, David C. K. Yu...
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
All existing lookup algorithms in structured peerto-peer (P2P) systems assume that all peers are uniform in resources (e.g., network bandwidth, storage and CPU). Messages are rout...
This paper compares the efficiency of using a standard direct-manipulation graphical user interface (GUI) with that of using the QuickSet pen/voice multimodal interface for suppor...