2 papers
cs.AI2024
Multi-agent transformer-accelerated RL for satisfaction of STL specifications
Albin Larsson Forsberg, Alexandros Nikou, Aneta Vulgarakis Feljan +1
One of the main challenges in multi-agent reinforcement learning is scalability as the number of agents increases. This issue is further exacerbated if the problem considered is te…
cs.RO2024
Robust MITL planning under uncertain navigation times
Alexis Linard, Anna Gautier, Daniel Duberg +1
In environments like offices, the duration of a robot's navigation between two locations may vary over time. For instance, reaching a kitchen may take more time during lunchtime si…