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Niklas Hopner

2 accepted papers

2022

Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods

IJCAI 2022poster

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 proven difficult to leverage knowledge that is not manually tailored to the environment. We propose to use the subclass relat…

2021

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning

ICML 2021spotlight

Ad hoc teamwork is the challenging problem of designing an autonomous agent which can adapt quickly to collaborate with teammates without prior coordination mechanisms, including joint training. Prior work in this area has focused on closed teams in which the number of agents is fixed. In this work,…