This paper examines the dynamics of a networked multi-agent system operating with a consensus-type coordination algorithm that can be influenced by external agents. We refer to thi...
AbstractWe describe Utile Coordination, an algorithm that allows a multiagent system to learn where and how to coordinate. The method starts with uncoordinated learners and maintai...
Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Niko...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...