34 citations · 70 across the 7 of their papers we have counts for
3 papers · 1 filter
Deep Q-learning: a robust control approach
Balazs Varga, Balazs Kulcsar, Morteza Haghir Chehreghani
In this paper, we place deep Q-learning into a control-oriented perspective and study its learning dynamics with well-established techniques from robust control. We formulate an un…
Short-term traffic prediction using physics-aware neural networks
Mike Pereira, Annika Lang, Balázs Kulcsár
In this work, we propose an algorithm performing short-term predictions of the flux of vehicles on a stretch of road, using past measurements of the flux. This algorithm is based o…
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
This paper presents a constrained policy gradient algorithm. We introduce constraints for safe learning with the following steps. First, learning is slowed down (lazy learning) so…