186 citations · 210 across the 15 of their papers we have counts for
3 papers · 1 filter
Hierarchical Reinforcement Learning for Power Network Topology Control
Blazej Manczak, Jan Viebahn, Herke van Hoof
Learning in high-dimensional action spaces is a key challenge in applying reinforcement learning (RL) to real-world systems. In this paper, we study the possibility of controlling…
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker, Herke van Hoof, Max Welling
Pool-based active learning (AL) is a promising technology for increasing data-efficiency of machine learning models. However, surveys show that performance of recent AL methods is…
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof +2
In multi-agent problems requiring a high degree of cooperation, success often depends on the ability of the agents to adapt to each other's behavior. A natural solution concept in…