3 citations · 13 across the 10 of their papers we have counts for
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cs.LG2023
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
Hao Zhu, Brice De La Crompe, Gabriel Kalweit +4
In advancing the understanding of natural decision-making processes, inverse reinforcement learning (IRL) methods have proven instrumental in reconstructing animal's intentions und…
cs.LG2020★ 1 cited
Deep Surrogate Q-Learning for Autonomous Driving
Maria Kalweit, Gabriel Kalweit, Moritz Werling +1
Challenging problems of deep reinforcement learning systems with regard to the application on real systems are their adaptivity to changing environments and their efficiency w.r.t.…