— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...
Recent results showing PPAD-completeness of the problem of computing an equilibrium for Fisher’s market model under additively separable, piecewise-linear, concave utilities (pl...
In this paper, we propose a new practical identity-based encryption scheme which is suitable for wireless sensor network (WSN). We call it Receiver-Bounded Online/Offline Identity...
Cheng-Kang Chu, Joseph K. Liu, Jianying Zhou, Feng...
Shadows are well known as a programming language feature in the application area of MUDs (a certain type of multi-player online game). We argue that agile methodologies can be enh...