An n-node tree has to be explored by a group of k mobile robots deployed initially at the root. Robots traverse the edges of the tree until all nodes are visited. We would like to ...
Miroslaw Dynia, Miroslaw Korzeniowski, Christian S...
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
We propose a provably efficient application-controlled global strategy for organizing a cache of size k shared among P application processes. Each application has access to informa...
Rakesh D. Barve, Edward F. Grove, Jeffrey Scott Vi...
Abstract Consider a random graph model where each possible edge e is present independently with some probability pe. Given these probabilities, we want to build a large/heavy match...
Traditionally, on-line problems have been studied under the assumption that there is a unique sequence of requests that must be served. This approach is common to most general mod...
Esteban Feuerstein, Steven S. Seiden, Alejandro St...