We consider the case of sparse mobile sensors deployed to implement missions in challenging environments. This paper explores a notion of tour networks that is well suited to circ...
We derive optimal bidding strategies for a global bidding agent that participates in multiple, simultaneous second-price auctions with perfect substitutes. We first consider a mo...
Enrico H. Gerding, Rajdeep K. Dash, David C. K. Yu...
Distributed allocation and multiagent coordination problems can be solved through combinatorial auctions. However, most of the existing winner determination algorithms for combina...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Interactive drama allows people to participate actively in a dynamically unfolding story, by playing a character or by exerting directorial control. One of the central challenges f...