83
Voted
ATAL
2015
Springer
9 years 11 months ago
2015
Springer
Reinforcement learning (RL) is a well-established paradigm for enabling autonomous agents to learn from experience. To enable RL to scale to any but the smallest domains, it sary ...
100
Voted
ATAL
2015
Springer
9 years 11 months ago
2015
Springer
We propose the problem of predicting a bundle of goods, where the goods considered is a set of spatial locations that an agent wishes to visit. This typically arises in the touris...
ATAL
2015
Springer
9 years 11 months ago
2015
Springer
ATAL
2015
Springer
9 years 11 months ago
2015
Springer
Situations akin to public deliberation leading to preference changes are modelled. A set of agents is considered, each endowed with a preference relation over a set of objects and...
ATAL
2015
Springer
9 years 11 months ago
2015
Springer
In Boolean games, agents uniquely control a set of propositional variables, and aim at achieving a goal formula whose realisation might depend on the choices the other agents make...