There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Abstract-- Knowledge management is becoming a fashion in many organizations. This entails the danger that large investments in knowledge externalization are made with little short-...
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Effective task-level control is critical for robots that are to engage in purposeful activity in realworld environments. This paper describes PRSLite, a task-level controller grou...
We explore a rule-based formalisation for contracts: the rules capture conditional norms, that is, they describe situations arising during the enactment of a multi-agent system, an...