We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
We present an appearance-based user interface for artists to efficiently design customized image-based lighting environments. 1 Our approach avoids typical iterations of paramete...
Makoto Okabe, Yasuyuki Matsushita, Li Shen, Takeo ...
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Boolean Equation Systems (BESs) allow to represent various problems encountered in the area of propositional logic programming and verification of concurrent systems. Several seq...
Code generation for embedded processors creates opportunities for several performance optimizations not applicable for traditional compilers. We present techniques for improving d...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...