This paper studies price properties in continuous double-auction markets in the presence of marketmakers, agents with special responsibilities for maintaining liquidity and orderl...
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
In this paper, we develop a novel algorithm that allows service consumer agents to automatically select and provision service provider agents for their workflows in highly dynamic...
Sebastian Stein, Nicholas R. Jennings, Terry R. Pa...
Virtual agents designed to establish relationships with more than one user must be able to identify and distinguish among those users with high reliability. We descr...
Daniel Schulman, Mayur Sharma, Timothy W. Bickmore
Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To identify under which circums...