16 citations · 41 across the 11 of their papers we have counts for
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cs.AI2025
Making Universal Policies Universal
Niklas Höpner, David Kuric, Herke van Hoof
The development of a generalist agent capable of solving a wide range of sequential decision-making tasks remains a significant challenge. We address this problem in a cross-agent…
cs.AI2022★ 1 cited
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…