Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Starting from the assumptions that human-ambient intelligence interaction will be improved by having more human-human like communications and that facial expressions are fundament...
Marco Paleari, Amandine Grizard, Christine L. Lise...
Social insects provide us with a powerful metaphor to create decentralized systems of simple interacting, and often mobile, agents. The emergent collective intelligence of social i...
Eric Bonabeau, Andrej Sobkowski, Guy Theraulaz, Je...
This paper proposes a threshold key escrow scheme from pairing. It tolerates the passive adversary to access any internal data of corrupted key escrow agents and the active adversa...
We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...