112
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ATAL
2015
Springer
10 years 2 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 ...
127
Voted
ATAL
2015
Springer
10 years 2 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...
111
Voted
ATAL
2015
Springer
10 years 2 months ago
2015
Springer
109
Voted
ATAL
2015
Springer
10 years 2 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...
102
Voted
ATAL
2015
Springer
10 years 2 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...