10 citations · 17 across the 4 of their papers we have counts for
4 papers
Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
Asger Horn Brorholt, Andreas Holck Høeg-Petersen, Peter Gjøl Jensen +4
We present Uppaal Coshy, a tool for automatic synthesis of a safety strategy -- or shield -- for Markov decision processes over continuous state spaces and complex hybrid dynamics.…
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
Asger Horn Brorholt, Kim Guldstrand Larsen, Christian Schilling
Deep reinforcement learning has emerged as a powerful tool for obtaining high-performance policies. However, the safety of these policies has been a long-standing issue. One promis…
Efficient Shield Synthesis via State-Space Transformation
Asger Horn Brorholt, Andreas Holck Høeg-Petersen, Kim Guldstrand Larsen +1
We consider the problem of synthesizing safety strategies for control systems, also known as shields. Since the state space is infinite, shields are typically computed over a finit…
Shielded Reinforcement Learning for Hybrid Systems
Asger Horn Brorholt, Peter Gjøl Jensen, Kim Guldstrand Larsen +2
Safe and optimal controller synthesis for switched-controlled hybrid systems, which combine differential equations and discrete changes of the system's state, is known to be intric…