We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
: The design and development of Internet applications, requiring dynamic and possibly mobile access to Internet resources, can take advantage of an approach based on autonomous mob...
—This paper describes Herald, an agent based toolkit for dispatching and processing items in a distributed environment. Herald is suitable for scenarios where the process could b...
Christian Vecchiola, Alberto Grosso, Andrea Passad...
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...