Computational puzzles are mildly difficult computational problems that require resources (processor cycles, memory, or both) to solve. Puzzles have found a variety of uses in secu...
Liqun Chen, Paul Morrissey, Nigel P. Smart, Bogdan...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Abstract. There is no standard modelling language for constraint programming (CP) problems. Most solvers have their own modelling language. This makes it difficult for modellers to...
Nicholas Nethercote, Peter J. Stuckey, Ralph Becke...
The interplay back and forth between software model checking and hardware model checking has been fruitful for both. Originally intended for the analysis of concurrent software, mo...
Edmund M. Clarke, Anubhav Gupta, Himanshu Jain, He...
ToolglassTM widgets are new user interface tools that can appear, as though on a transparent sheet of glass, between an application and a traditional cursor. They can be positione...
Eric A. Bier, Maureen C. Stone, Kenneth A. Pier, K...