Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
We would like to show that the collective production of knowledge and the individual creation of its organizational casting mould, which is therefore incapable of following the gr...
Simulation has been regarded as the third way to represent social models, alternative to other two symbol systems: the verbal argumentation and the mathematical one. Simulation ca...
Demand for programming environments to exploit clusters of symmetric multiprocessors (SMPs) is increasing. In this paper, we present a new programming environment, called ParADE, ...
Three video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a feature...