1 citations · 1 across the 2 of their papers we have counts for
3 papers
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Höpner, Ilaria Tiddi, Herke van Hoof
The scalability of instructable agents in robotics or gaming is often hindered by limited data that pairs instructions with agent trajectories. However, large datasets of unannotat…
Automatic Evaluation Metrics for Artificially Generated Scientific Research
Niklas Höpner, Leon Eshuijs, Dimitrios Alivanistos +2
Foundation models are increasingly used in scientific research, but evaluating AI-generated scientific work remains challenging. While expert reviews are costly, large language mod…
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods
Niklas Höpner, Ilaria Tiddi, Herke van Hoof
Enabling reinforcement learning (RL) agents to leverage a knowledge base while learning from experience promises to advance RL in knowledge intensive domains. However, it has prove…