In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
When building natural language generation applications it is desireable to have the possibility of assembling modules that use different techniques for each one of the specific g...
— Active Networks, being programmable, promise greater flexibility than current networks. Programmability, however, may introduce safety and security risks. This paper describes...
Michael W. Hicks, Angelos D. Keromytis, Jonathan M...
Digital preservation has turned into an active field of research. The most prominent approaches today are migration and emulation; especially considering migration, a range of work...
Christoph Becker, Miguel Ferreira, Michael Kraxner...
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...