Workshop on Reinforcement Learning 2027

Welcome to the fourth mini-Workshop on Reinforcement Learning (RL) in Mannheim. The workshop will be held on February 19th 2027 to gather enthusiasts in the field of theory of Reinforcement Learning (RL). In a relaxed atmosphere experts and beginners have the opportunity to exchange insights on current research on RL. 

We extend a warm invitation to all interested individuals to join us for this collaborative event. Please note that there are no fees associated with the workshop, so just drop by if you are interested in reinforcement learning!

  • Speakers and titles

    • Georgia Chalvatzaki (TU Darmstadt)
    • Herke van Hoof (University of Amsterdam)
    • Emilie Kaufmann (Université de Lille)
    • Melih Kandemir (University of Southern Denmark)
    • Luca Viano (ETH Zürich)
    • Adam White (University of Alberta)
    • TBA
  • Program

    9:00–9:45Talk 1
    9:45–10:30Talk 2
     cofee break + poster session
    11:15–12:00Talk 3
     lunch + poster session
    14:00–14:45Talk 4
    14:45–15:30Talk 5
     coffee break + poster session
    16:00–16:45Talk 6
    16:45–17:30Talk 7
     restaurant
  • Postersession

    To start discussions, there will be poster sessions during the breaks. Everyone is welcome to bring posters from other occasions as well.

  • Venue

    University of Mannheim (Germany), Aula, in the baroque castle of Mannheim, 10 Minutes from the train station. Here is a google maps link; in the middle of this map you can find the main entrance to the university. Enter, then go to the first floor.

  • Registration

    We do not charge a fee for participation but ask participants to register for a better planning of coffee breakes and lunch. Please use our google forms sheet.

  • Organizers

    Leif Döring (Mannheim), Théo Vincent (Darmstadt), Simon Weißmann (Mannheim), Benedikt Wille (Mannheim), Claire Vernade (Tübingen)

  • Support

    The workshop is supported by the Mannheim Center for Data Science.