Consider the classical online scheduling problem where jobs that arrive one by one are assigned to identical parallel machines with the objective of minimizing the makespan. We gen...
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
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...
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...