We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
High-performance computing faces considerable change as the Internet and the Grid mature. Applications that once were tightly-coupled and monolithic are now decentralized, with co...
Patrick Widener, Greg Eisenhauer, Karsten Schwan, ...
The synchronous programming paradigm simplifies the specification and verification of reactive systems. However, synchronous programs must be often implemented on architectures...
Abstract. Rich Internet applications (RIAs) enable novel usage scenarios by overcoming the traditional paradigms of Web interaction. Conventional Web applications can be seen as re...
— This article presents an evolution of classical SPMD programming for clusters and grids. It is named ”Object-Oriented SPMD” as it is based on remote method invocation. More...