Software systems in safety-critical industrial automation systems, such as power plants and steel mills, become increasingly large, complex, and distributed. For assessing risks, l...
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...
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 ...
The increasing availability of high-performance computing systems with thousands, tens of thousands, and even hundreds of thousands of computational nodes is driving the demand fo...
This paper presents a multiagent-system for integrating ALICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned ...