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 work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
Abstract. We present a framework for the declarative diagnosis of nondeterministic timed concurrent constraint programs. We present a denotational semantics based on a (continuous)...
Moreno Falaschi, Carlos Olarte, Catuscia Palamides...
Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems. Analyzing...
The convergence of data, voice and multimedia communication over digital networks, coupled with continuous improvement in network capacity and reliability has significantly enrich...
Yi Deng, Seyed Masoud Sadjadi, Peter J. Clarke, Ch...