Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
The e-KNOWNET is a Lifelong Learning project, which aims to develop an innovative and viable mechanism to facilitate the flow of new scientific knowledge produced in the research ...
G. Anyfandi, V. Laopodis, V. Koulaidis, Nicolas Ap...
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...