• Feature engineering for deep reinforcement learning based routing 

      Suárez-Varela Maciá, José Rafael; Mestres Sugrañes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Recent advances in Deep Reinforcement Learning (DRL) techniques are providing a dramatic improvement in decision-making and automated control problems. As a result, we are witnessing a growing number of research works that ...
    • Routing based on deep reinforcement learning in optical transport networks 

      Suárez-Varela Maciá, José Rafael; Mestres Sugrañes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transport Networks at the electrical-layer level. We propose a DRL-based solution that achieves both high performance and fast learning.
    • Routing in optical transport networks with deep reinforcement learning 

      Suárez Varela, José; Mestres Sugranyes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Cabellos Aparicio, Alberto; Barlet Ros, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Article
      Accés obert
      Deep reinforcement learning (DRL) has recently revolutionized the resolution of decision-making and automated control problems. In the context of networking, there is a growing trend in the research community to apply DRL ...