Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
Abstract. Software systems obey the 80/20 rule: aggressively optimizing a vital few execution paths yields large speedups. However, finding the vital few paths can be difficult, e...
Design patterns are a standard means to create large software systems. However, with standard object-oriented techniques, typical implementations of such patterns are not themselv...
- Channel-state-aware scheduling strategies on wireless links play an essential role for enhancing throughput performance of elastic data traffic by exploiting channel fluctuatio...