Mini-workshop on Reinforcement Learning
Date: Thursday, September 29th, from 2pm to 5.30 pm
Location: Montefiore R.21
Schedule:
2 - 2:20 pm: Harm Van Seijen, University of Amsterdam: Exploiting best-match equations for efficient reinforcement learning
2:20 - 2:40 pm: Discussion / coffee break
2:40 - 3: Tobias Jung, University of Liège: Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration
3 - 3:20 pm: Discussion / coffee break
3:20 - 3:40 pm: Francis Maes, University of Liège: Automatic discovery of ranking formulas for playing with multi-armed bandits
3:40 - 4 pm: Discussion / coffee break
4 - 4:20 pm: Cosmin Paduraru, McGill University: A framework for computing bounds for the return of a policy
4:20 - 4:40 pm: Discussion / coffee break
4:40 - 5 pm: Raphael Fonteneau, University of Liège: Min max generalization for batch mode reinforcement learning
5 - 5:20 pm: Discussion / coffee break
5:20 - 5:40 pm: Amaury Johnen, University of Liege: Sequential decision-making approach for quadrangular mesh generation