30 citations · 49 across the 15 of their papers we have counts for
3 papers · 1 filter
Fairness in Multi-Agent Planning
Alberto Pozanco, Daniel Borrajo
In cooperative Multi-Agent Planning (MAP), a set of goals has to be achieved by a set of agents. Independently of whether they perform a pre-assignment of goals to agents or they d…
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
Leo Ardon, Alberto Pozanco, Daniel Borrajo +1
Reinforcement Learning (RL) algorithms are known to scale poorly to environments with many available actions, requiring numerous samples to learn an optimal policy. The traditional…
Anticipatory Counterplanning
Alberto Pozanco, Yolanda E-Martín, Susana Fernández +1
In competitive environments, commonly agents try to prevent opponents from achieving their goals. Most previous preventing approaches assume the opponent's goal is known a priori.…