In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Middleware has been introduced to provide interoperability as well as transparent location of servers in heterogeneous client-server environments. Although such benefits accrue fro...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
: For many complex and dynamic ubiquitous services, context-aware cooperation can be a solution. However, the way is not yet clear to make individual objects cooperate with each ot...
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...