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...
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...
The TAC Supply Chain Management (TAC/SCM) game presents a challenging dynamic environment for autonomous decision-making in a salient application domain. Strategic interactions co...
Patrick R. Jordan, Christopher Kiekintveld, Michae...
We present new techniques for fast, accurate and scalable static data race detection in concurrent programs. Focusing our analysis on Linux device drivers allowed us to identify th...
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...