Abstract. Notations like SGML and XML represent document structures using tree structures; while this is in general a step forward from earlier systems, it creates certain difficul...
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Performance of Web servers is critical to the success of many corporations and organizations. However, very few results have been published that quantitatively study the server be...
Streamlining communication is key to achieving good performance in shared-memory parallel programs. While full hardware support for cache coherence generally offers the best perfo...
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...