Reinforcement learning (RL) is a powerful approach for training agents t...
Influenza poses a significant threat to public health, particularly amon...
Influenza viruses mutate rapidly and can pose a threat to public health,...
Recursion is the fundamental paradigm to finitely describe potentially
i...
Influenza occurs every season and occasionally causes pandemics. Despite...
When omega-regular objectives were first proposed in model-free reinforc...
The rapid mutation of the influenza virus threatens public health.
Reass...
Reinforcement learning synthesizes controllers without prior knowledge o...
We study reinforcement learning for the optimal control of Branching Mar...
Zielonka's classic recursive algorithm for solving parity games is perha...
We develop an algorithm that combines the advantages of priority promoti...
We consider a multi-stage facility reallocation problems on the real lin...
We study stochastic games with energy-parity objectives, which combine
q...
We study strategic games on weighted directed graphs, in which the payof...
Gossip protocols are programs used in a setting in which each agent hold...
Parys has recently proposed a quasi-polynomial version of Zielonka's
rec...
We provide the first solution for model-free reinforcement learning of
ω...
The computational complexity of the partition, 0-1 subset sum, unbounded...
Gossip protocols aim at arriving, by means of point-to-point or group
co...