4 papers · 1 filter
Reinforcement Learning for Long-Horizon Unordered Tasks: From Boolean to Coupled Reward Machines
Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis +2
Reward machines (RMs) inform reinforcement learning agents about the reward structure of the environment, enabling support for non-Markovian tasks and improving sample efficiency.…
Numeric Reward Machines
Kristina Levina, Nikolaos Pappas, Athanasios Karapantelakis +2
Reward machines inform reinforcement learning agents about the reward structure of the environment and often drastically speed up the learning process. However, reward machines onl…
A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
Athanasios Karapantelakis, Alexandros Nikou, Ajay Kattepur +5
In the near future, mobile networks are expected to broaden their services and coverage to accommodate a larger user base and diverse user needs. Thus, they will increasingly rely…
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…